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Runtime error
Thiago Vieira
commited on
Commit
·
b0902ae
1
Parent(s):
d4706b0
initial commit
Browse files- app.py +173 -0
- bm25Simple/__init__.py +75 -0
- content/CISI.ALL +0 -0
- content/CISI.BLN +86 -0
- content/CISI.QRY +1525 -0
- content/CISI.REL +3114 -0
- content/cisi.tar.gz +3 -0
- models/BM25Okapi.pkl +3 -0
- models/BM25Plus.pkl +3 -0
- models/BM25_simple.pkl +3 -0
- requirements.txt +6 -0
app.py
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| 1 |
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import os
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| 2 |
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import pickle
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| 3 |
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import time
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import streamlit as st
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from rank_bm25 import BM25Okapi, BM25Plus
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from bm25Simple import BM25Simple
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path = os.path.dirname(__file__)
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print(path)
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def main():
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st.set_page_config(
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# Can be "centered" or "wide". In the future also "dashboard", etc.
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layout="wide",
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initial_sidebar_state="auto", # Can be "auto", "expanded", "collapsed"
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# String or None. Strings get appended with "• Streamlit".
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page_title="BM25 based Information Retrieval System",
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page_icon="🔎", # String, anything supported by st.image, or None.
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)
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# LAYOUT
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hide_menu_style = """
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<style>
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#MainMenu {visibility: hidden; }
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footer {visibility: hidden;}
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</style>
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"""
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st.markdown(hide_menu_style, unsafe_allow_html=True)
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# padding = 2
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# st.markdown(f""" <style>
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# .reportview-container .main .block-container{{
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# padding-top: {padding}rem;
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# padding-right: {padding}rem;
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# padding-left: {padding}rem;
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# padding-bottom: {padding}rem;
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# }} </style> """, unsafe_allow_html=True)
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+
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# horizontal radios
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st.write(
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'<style>div.row-widget.stRadio > div{flex-direction:row;}</style>', unsafe_allow_html=True)
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# load documents
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corpus = load_docs()
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# load models
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bm25_simple, bm25_okapi, bm25_plus = load_models()
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# UI
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# st.header(f':mag_right: {algo}')
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st.header(':mag_right: BM25 based Information Retrieval System')
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st.markdown('''
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<a href="https://github.com/tcvieira/bm25-exercise-report" target="_blank" style="text-decoration: none;">
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<img src="https://cdn-icons-png.flaticon.com/512/25/25231.png" width="30" height="30" alt="github repository"></img>
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</a>git repository
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''', unsafe_allow_html=True)
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| 59 |
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st.markdown('---')
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| 60 |
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with st.form("search_form"):
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query = st.text_input(
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'Query', 'How much do information retrieval and dissemination systems, as well as automated libraries, cost? Are they worth it to the researcher and to industry?')
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| 64 |
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st.caption('no text preprocessing')
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| 65 |
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with st.expander("Query Examples"):
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st.markdown('''
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- What systems incorporate multiprogramming or remote stations in information retrieval? What will be the extent of their use in the future?
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- What problems and concerns are there in making up descriptive titles? What difficulties are involved in automatically retrieving articles from approximate titles?
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- What is information science? Give definitions where possible.
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- Some Considerations Relating to the Cost-Effectiveness of Online Services in Libraries
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- A Fast Procedure for the Calculation of Similarity Coefficients in Automatic Classification
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''')
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submitted = st.form_submit_button('Search')
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if submitted:
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if query:
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st.markdown('---')
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col1, col2, col3 = st.columns(3)
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with col1:
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st.subheader('BM25 Simple')
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bm25_simple_time, most_relevant_documents = search_docs(
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| 87 |
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bm25_simple, query, corpus)
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st.caption(f'time: {bm25_simple_time}')
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| 89 |
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print_docs(most_relevant_documents)
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| 90 |
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| 91 |
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with col2:
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st.subheader('BM25OKapi')
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bm25_okapi_time, most_relevant_documents = search_docs(
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bm25_okapi, query, corpus)
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st.caption(f'time: {bm25_okapi_time}')
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print_docs(most_relevant_documents)
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| 99 |
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with col3:
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st.subheader('BM25+')
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bm25_plus_time, most_relevant_documents = search_docs(
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bm25_plus, query, corpus)
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st.caption(f'time: {bm25_plus_time}')
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print_docs(most_relevant_documents)
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else:
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st.text('add some query')
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| 110 |
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def search_docs(model, query, corpus):
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| 111 |
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tokenized_query = query.split(" ")
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| 112 |
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| 113 |
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start = time.time()
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| 114 |
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most_relevant_documents = model.get_top_n(
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tokenized_query, corpus, 20)
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| 116 |
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elapsed = (time.time() - start)
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| 117 |
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return elapsed, most_relevant_documents[:20]
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| 118 |
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| 119 |
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| 120 |
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def print_docs(docs):
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| 121 |
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for index, doc in enumerate(docs):
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| 122 |
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st.markdown(f'''
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| 123 |
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<div style="text-align: justify">
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| 124 |
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<strong>{index+1}</strong>: {doc}
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</div>
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</br>
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''', unsafe_allow_html=True)
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| 129 |
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| 130 |
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@st.cache_resource
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| 131 |
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def load_docs():
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| 132 |
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# Processing DOCUMENTS
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| 133 |
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doc_set = {}
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| 134 |
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doc_id = ""
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| 135 |
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doc_text = ""
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| 136 |
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with open(path + '/content/CISI.ALL') as f:
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| 137 |
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lines = ""
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| 138 |
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for l in f.readlines():
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| 139 |
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lines += "\n" + l.strip() if l.startswith(".") else " " + l.strip()
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| 140 |
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lines = lines.lstrip("\n").split("\n")
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| 141 |
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for l in lines:
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| 142 |
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if l.startswith(".I"):
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| 143 |
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doc_id = int(l.split(" ")[1].strip())-1
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| 144 |
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elif l.startswith(".X"):
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| 145 |
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doc_set[doc_id] = doc_text.lstrip(" ")
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| 146 |
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doc_id = ""
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| 147 |
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doc_text = ""
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| 148 |
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else:
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| 149 |
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# The first 3 characters of a line can be ignored.
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| 150 |
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doc_text += l.strip()[3:] + " "
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| 151 |
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return list(doc_set.values())
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| 152 |
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| 153 |
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| 154 |
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@st.cache_resource
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| 155 |
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def load_models():
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| 156 |
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with open(path + '/models/BM25_simple.pkl', 'rb') as file:
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| 157 |
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bm25_simple: BM25Simple = pickle.load(file)
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| 158 |
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print(bm25_simple.corpus_size)
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| 159 |
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| 160 |
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with open(path + '/models/BM25OKapi.pkl', 'rb') as file:
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bm25_okapi: BM25Okapi = pickle.load(file)
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| 162 |
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print(bm25_okapi.corpus_size)
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| 163 |
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| 164 |
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with open(path + '/models/BM25Plus.pkl', 'rb') as file:
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| 165 |
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bm25_plus: BM25Plus = pickle.load(file)
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| 166 |
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print(bm25_plus.corpus_size)
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| 167 |
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| 168 |
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st.success("BM25 models loaded!", icon='✅')
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| 169 |
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return bm25_simple, bm25_okapi, bm25_plus
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| 170 |
+
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| 171 |
+
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| 172 |
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if __name__ == "__main__":
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| 173 |
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main()
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bm25Simple/__init__.py
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@@ -0,0 +1,75 @@
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import math
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# Implementation from https://en.wikipedia.org/wiki/Okapi_BM25
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class BM25Simple(object):
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PARAM_K1 = 1.2
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PARAM_B = 0.75
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EPSILON = 0.25
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def __init__(self, corpus):
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self.corpus_size = len(corpus)
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self.dl = [float(len(d)) for d in corpus]
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self.avgdl = sum(self.dl) / self.corpus_size
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self.corpus = corpus
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self.f = []
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| 17 |
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self.df = {}
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self.idf = {}
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self.average_idf = 0
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self._initialize()
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| 21 |
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| 22 |
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def _initialize(self):
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| 23 |
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for document in self.corpus:
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frequencies = {}
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for word in document:
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if word not in frequencies:
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frequencies[word] = 0
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frequencies[word] += 1
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self.f.append(frequencies)
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for word, freq in frequencies.items():
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if word not in self.df:
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self.df[word] = 0
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self.df[word] += 1
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for word, freq in self.df.items():
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self.idf[word] = math.log(
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self.corpus_size - freq + 0.5) - math.log(freq + 0.5)
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self.average_idf = sum(
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map(lambda k: float(self.idf[k]), self.idf.keys())) / len(self.idf.keys())
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| 42 |
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def _get_score(self, document, index):
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score = 0
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for word in document:
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if word not in self.f[index]:
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continue
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idf = self.idf[word] if self.idf[word] >= 0 else self.EPSILON * \
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self.average_idf
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score += (idf * self.f[index][word] * (self.PARAM_K1 + 1)
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/ (self.f[index][word] + self.PARAM_K1 * (1 - self.PARAM_B + self.PARAM_B * self.dl[index] / self.avgdl)))
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return score
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def _get_scores(self, document):
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scores = []
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for index in range(self.corpus_size):
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score = self._get_score(document, index)
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scores.append(score)
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return scores
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def get_scores(self, query, k=None):
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"""Returns the `scores` of most relevant documents according to `query`"""
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result = [(index, score)
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for index, score in enumerate(self._get_scores(query))]
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result.sort(key=lambda x: x[1], reverse=True)
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_, scores = zip(*result)
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| 67 |
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return scores
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def get_top_n(self, query, corpus, n=20):
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| 70 |
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"""Returns the `indexes` most relevant documents according to `query`"""
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| 71 |
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result = [(index, score)
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| 72 |
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for index, score in enumerate(self._get_scores(query))]
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| 73 |
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result.sort(key=lambda x: x[1], reverse=True)
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| 74 |
+
indexes, _ = zip(*result)
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return [corpus[i] for i in indexes[:n]]
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content/CISI.ALL
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The diff for this file is too large to render.
See raw diff
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content/CISI.BLN
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
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|
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|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
#default_ct = 3;
|
| 2 |
+
#q1= #and ('titles', #or ('automatically', 'retrieving', 'problems',
|
| 3 |
+
'concerns', 'descriptive',
|
| 4 |
+
'approximate', 'difficulties',
|
| 5 |
+
'content', 'relevance','articles'));
|
| 6 |
+
#q2= #and (#or('data', 'information'),
|
| 7 |
+
#or('automatically', 'retrieved','requests',
|
| 8 |
+
'pertinent', 'response',
|
| 9 |
+
#not (#or ('articles', 'references')) ) );
|
| 10 |
+
#q3= #and ('information',#or ('science', 'definition'));
|
| 11 |
+
#q4= #or (#and ('image', 'recognition'),
|
| 12 |
+
#and ( #or ('printed', 'text'),
|
| 13 |
+
#or ('methods', 'automatically', 'transforming',
|
| 14 |
+
'computer-ready') ) );
|
| 15 |
+
#q5= #and (#or ('training', 'use', 'need', 'systems', 'problems'),
|
| 16 |
+
#or ('special', 'ordinary', 'proper',
|
| 17 |
+
'researchers', 'encounter'),
|
| 18 |
+
#or ('information', 'management', 'retrieval') );
|
| 19 |
+
#q6= #and (#or ('communication', 'verbal'),
|
| 20 |
+
#or ('possibilities', 'word', 'computers', 'humans') );
|
| 21 |
+
#q7= #and ( #or ('systems', 'data-processing',
|
| 22 |
+
'coded', 'printing', 'publishing'),
|
| 23 |
+
#or ('retrieval', 'byproduct', 'papers', 'computer', 'working',
|
| 24 |
+
'planned', 'saving', 'articles') );
|
| 25 |
+
#q8= #and (#or ('languages', 'indexing'),
|
| 26 |
+
#or ('information', 'retrieval', 'science') );
|
| 27 |
+
#q9= #and (#or ('information', 'retrieval', 'system', 'automatic',
|
| 28 |
+
'possibilities','inclusion', 'analysis'),
|
| 29 |
+
#or ('grammatical', 'contextual') );
|
| 30 |
+
#q10= #or (#and ('group', 'mathematics'),
|
| 31 |
+
#and ('mathematics',
|
| 32 |
+
#or ('abstract', 'information', 'retrieval') ) );
|
| 33 |
+
#q11= #and (#or ('need', 'information', 'scientific', 'research'),
|
| 34 |
+
#or ('consolidation', 'evaluation', 'retrieval') );
|
| 35 |
+
#q12= #and (#or ('publication', 'printing', 'distribution'),
|
| 36 |
+
#or ('methods', 'scientific', 'journals') );
|
| 37 |
+
#q13= #and (#or ('information', 'retrieval', 'dissemination', 'systems'),
|
| 38 |
+
#or ('criteria', 'evaluation', 'objective') );
|
| 39 |
+
#q14= #and ('medical', #or ('future', 'automatic')) ;
|
| 40 |
+
#q15= #and (#or ('cost', 'worth', 'industry'),
|
| 41 |
+
#or ('information', 'retrieval', 'dissemination', 'libraries'),
|
| 42 |
+
#or ('systems', 'automated', 'researcher', 'industry') );
|
| 43 |
+
#q16= #and (#or ('information', 'retrieval', 'systems'),
|
| 44 |
+
#or ('future', 'stations', 'remote') );
|
| 45 |
+
#q17= #and (#or ('output', 'obtaining', 'usable', 'customer',
|
| 46 |
+
'volume', 'speed'),
|
| 47 |
+
#or ('information', 'retrieval'),
|
| 48 |
+
#or ('large', 'high', 'customer', 'volume', 'output') );
|
| 49 |
+
#q18= #and(#or ('structures', 'structural', 'formulas', 'drawing',
|
| 50 |
+
'compounds', 'chemical'),
|
| 51 |
+
#or ('methods', 'automatically',
|
| 52 |
+
'extended', 'encoding', 'matching'));
|
| 53 |
+
#q19= #and (#or ('matching', 'searching', 'coding'),
|
| 54 |
+
#or ('methods', 'machine', 'techniques', 'systems') );
|
| 55 |
+
#q20= #and ('testing', #or ('systems', 'automated', 'information') );
|
| 56 |
+
#q21= #and ('personnel', #or ('need', 'provide', 'information', 'field') );
|
| 57 |
+
#q22= #and ('medical', #or ('automated', 'information', 'field') );
|
| 58 |
+
#q23= #and ( 'libraries',
|
| 59 |
+
#or ('books', 'use', 'relation', 'systems', 'amount'),
|
| 60 |
+
#or ('automated', 'information') );
|
| 61 |
+
#q24= #and(#or ('education', 'training', 'needs', 'programs'),
|
| 62 |
+
#or ('possibilities', 'personnel', 'providing', 'requirements'),
|
| 63 |
+
#or ('information', 'field') );
|
| 64 |
+
#q25= #and ('international', #or ('systems', 'exchange', 'dissemination',
|
| 65 |
+
'information') );
|
| 66 |
+
#q26= #and ('cost', #or ('systems', 'automated',
|
| 67 |
+
'information', 'determination'));
|
| 68 |
+
#q27= #and (#or ('computerized', 'systems'),
|
| 69 |
+
#or ('indexing', 'information', 'retrieval'));
|
| 70 |
+
#q28= #and ('chemistry', #or ('computerized', 'systems', 'information') );
|
| 71 |
+
#q29= #and (#or ('specific', 'index', 'advantages'),
|
| 72 |
+
#or ('computerized', 'index', 'systems') );
|
| 73 |
+
#q30= #and (#or ('journals', 'periodicals'),
|
| 74 |
+
#or ('information', 'dissemination') );
|
| 75 |
+
#q31= #and (#or ('physical', 'sciences'), #or ('information', 'systems') );
|
| 76 |
+
#q32= #or (#and ('libraries',
|
| 77 |
+
#or ('general', 'computerized', 'mechanized', 'systems')),
|
| 78 |
+
#and (#or ('problems', 'methods', 'systems', 'indexing'),
|
| 79 |
+
#or ('indexing', 'automated', 'author', 'title')) );
|
| 80 |
+
#q33= #and (#or ('distance', 'transmission'),
|
| 81 |
+
#or ('retrieval', 'systems', 'automated', 'information') );
|
| 82 |
+
#q34= #and (#or ('coding', 'index', 'methods'),
|
| 83 |
+
#or ('methods', 'computerized', 'systems') );
|
| 84 |
+
#q35= #and ('government',
|
| 85 |
+
#or ('information', 'dissemination', 'agencies', 'projects') );
|
| 86 |
+
#endcoll;
|
content/CISI.QRY
ADDED
|
@@ -0,0 +1,1525 @@
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| 1 |
+
.I 1
|
| 2 |
+
.W
|
| 3 |
+
What problems and concerns are there in making up descriptive titles?
|
| 4 |
+
What difficulties are involved in automatically retrieving articles from
|
| 5 |
+
approximate titles?
|
| 6 |
+
What is the usual relevance of the content of articles to their titles?
|
| 7 |
+
.I 2
|
| 8 |
+
.W
|
| 9 |
+
How can actually pertinent data, as opposed to references or entire articles
|
| 10 |
+
themselves, be retrieved automatically in response to information requests?
|
| 11 |
+
.I 3
|
| 12 |
+
.W
|
| 13 |
+
What is information science? Give definitions where possible.
|
| 14 |
+
.I 4
|
| 15 |
+
.W
|
| 16 |
+
Image recognition and any other methods of automatically
|
| 17 |
+
transforming printed text into computer-ready form.
|
| 18 |
+
.I 5
|
| 19 |
+
.W
|
| 20 |
+
What special training will ordinary researchers and businessmen need for proper
|
| 21 |
+
information management and unobstructed use of information retrieval systems?
|
| 22 |
+
What problems are they likely to encounter?
|
| 23 |
+
.I 6
|
| 24 |
+
.W
|
| 25 |
+
What possibilities are there for verbal communication between computers and
|
| 26 |
+
humans, that is, communication via the spoken word?
|
| 27 |
+
.I 7
|
| 28 |
+
.W
|
| 29 |
+
Describe presently working and planned systems for publishing and printing
|
| 30 |
+
original papers by computer, and then saving the byproduct, articles coded in
|
| 31 |
+
data-processing form, for further use in retrieval.
|
| 32 |
+
.I 8
|
| 33 |
+
.W
|
| 34 |
+
Describe information retrieval and indexing in other languages.
|
| 35 |
+
What bearing does it have on the science in general?
|
| 36 |
+
.I 9
|
| 37 |
+
.W
|
| 38 |
+
What possibilities are there for automatic grammatical and contextual analysis
|
| 39 |
+
of articles for inclusion in an information retrieval system?
|
| 40 |
+
.I 10
|
| 41 |
+
.W
|
| 42 |
+
The use of abstract mathematics in information retrieval, e.g. group theory.
|
| 43 |
+
.I 11
|
| 44 |
+
.W
|
| 45 |
+
What is the need for information consolidation, evaluation, and retrieval in
|
| 46 |
+
scientific research?
|
| 47 |
+
.I 12
|
| 48 |
+
.W
|
| 49 |
+
Give methods for high speed publication, printing, and distribution of
|
| 50 |
+
scientific journals.
|
| 51 |
+
.I 13
|
| 52 |
+
.W
|
| 53 |
+
What criteria have been developed for the objective evaluation of information
|
| 54 |
+
retrieval and dissemination systems?
|
| 55 |
+
.I 14
|
| 56 |
+
.W
|
| 57 |
+
What future is there for automatic medical diagnosis?
|
| 58 |
+
.I 15
|
| 59 |
+
.W
|
| 60 |
+
How much do information retrieval and dissemination systems, as well as
|
| 61 |
+
automated libraries, cost?
|
| 62 |
+
Are they worth it to the researcher and to industry?
|
| 63 |
+
.I 16
|
| 64 |
+
.W
|
| 65 |
+
What systems incorporate multiprogramming or remote stations in information
|
| 66 |
+
retrieval? What will be the extent of their use in the future?
|
| 67 |
+
.I 17
|
| 68 |
+
.W
|
| 69 |
+
Means of obtaining large volume, high speed, customer usable
|
| 70 |
+
information retrieval output.
|
| 71 |
+
.I 18
|
| 72 |
+
.W
|
| 73 |
+
What methods are there for encoding, automatically matching,
|
| 74 |
+
and automatically drawing structures extended in two dimensions,
|
| 75 |
+
like the structural formulas for chemical compounds?
|
| 76 |
+
.I 19
|
| 77 |
+
.W
|
| 78 |
+
Techniques of machine matching and machine searching systems.
|
| 79 |
+
Coding and matching methods.
|
| 80 |
+
.I 20
|
| 81 |
+
.W
|
| 82 |
+
Testing automated information systems.
|
| 83 |
+
.I 21
|
| 84 |
+
.W
|
| 85 |
+
The need to provide personnel for the information field.
|
| 86 |
+
.I 22
|
| 87 |
+
.W
|
| 88 |
+
Automated information in the medical field.
|
| 89 |
+
.I 23
|
| 90 |
+
.W
|
| 91 |
+
Amount of use of books in libraries.
|
| 92 |
+
Relation to need for automated information systems .
|
| 93 |
+
.I 24
|
| 94 |
+
.W
|
| 95 |
+
Educational and training requirements for personnel in the information field.
|
| 96 |
+
Possibilities for this training. Needs for programs providing this training.
|
| 97 |
+
.I 25
|
| 98 |
+
.W
|
| 99 |
+
International systems for exchange and dissemination of information.
|
| 100 |
+
.I 26
|
| 101 |
+
.W
|
| 102 |
+
Cost and determination of cost associated with systems of automated information.
|
| 103 |
+
.I 27
|
| 104 |
+
.W
|
| 105 |
+
Computerized information retrieval systems. Computerized indexing systems.
|
| 106 |
+
.I 28
|
| 107 |
+
.W
|
| 108 |
+
Computerized information systems in fields related to chemistry.
|
| 109 |
+
.I 29
|
| 110 |
+
.W
|
| 111 |
+
Specific advantages of computerized index systems.
|
| 112 |
+
.I 30
|
| 113 |
+
.W
|
| 114 |
+
Information dissemination by journals and periodicals.
|
| 115 |
+
.I 31
|
| 116 |
+
.W
|
| 117 |
+
Information systems in the physical sciences.
|
| 118 |
+
.I 32
|
| 119 |
+
.W
|
| 120 |
+
Attempts at computerized and mechanized systems for general libraries.
|
| 121 |
+
Problems and methods of automated general author and title indexing systems.
|
| 122 |
+
.I 33
|
| 123 |
+
.W
|
| 124 |
+
Retrieval systems which provide for the automated transmission of information
|
| 125 |
+
to the user from a distance.
|
| 126 |
+
.I 34
|
| 127 |
+
.W
|
| 128 |
+
Methods of coding used in computerized index systems.
|
| 129 |
+
.I 35
|
| 130 |
+
.W
|
| 131 |
+
Government supported agencies and projects dealing with information dissemination.
|
| 132 |
+
.I 36
|
| 133 |
+
.W
|
| 134 |
+
What are some of the theories and practices in computer translating of
|
| 135 |
+
texts from one national language to another? How can machine translating
|
| 136 |
+
compete with traditional methods of translating in comprehending nuances
|
| 137 |
+
of meaning in languages of different structures?
|
| 138 |
+
|
| 139 |
+
.I 37
|
| 140 |
+
.W
|
| 141 |
+
What lists of words useful for indexing or classifying material are
|
| 142 |
+
available? Wanted are lists of terms that are descriptive vocabularies
|
| 143 |
+
of particular fields or schedules of words that are related to each other
|
| 144 |
+
in meaningful schemes. Wanted are lists that have been tested, at least to
|
| 145 |
+
some extent, and found useful for organizing material and for retrieving it.
|
| 146 |
+
|
| 147 |
+
.I 38
|
| 148 |
+
.W
|
| 149 |
+
How can access words in an information retrieval system be kept up to date?
|
| 150 |
+
Word meanings and usage often change and lists must be dynamic to be current.
|
| 151 |
+
What definitions of the problem and progress toward solutions have been made
|
| 152 |
+
in providing necessary flexibility in systems of subject headings, index
|
| 153 |
+
words, or other symbols used for getting at stored data?
|
| 154 |
+
|
| 155 |
+
.I 39
|
| 156 |
+
.W
|
| 157 |
+
The progress of information retrieval presents problems of maladjustment
|
| 158 |
+
and dislocation of personnel. Training and retraining of people to use
|
| 159 |
+
the new equipment is important at all levels. Librarians, assistants,
|
| 160 |
+
technicians, students, researchers, and even executives will need education
|
| 161 |
+
to learn the purpose, values, and uses of information systems and hardware.
|
| 162 |
+
What programs have been developed to change the attitudes and skills of
|
| 163 |
+
traditional workers and help them to learn the newer techniques?
|
| 164 |
+
|
| 165 |
+
.I 40
|
| 166 |
+
.W
|
| 167 |
+
What is the status of machine translation? What progress has been
|
| 168 |
+
made in the use of computers to transfer from one language to another
|
| 169 |
+
with some degree of automation? What problems and stumbling blocks
|
| 170 |
+
have been found and are they considered to be insurmountable limitations
|
| 171 |
+
or only challenging to the field of documentation on an international scale?
|
| 172 |
+
|
| 173 |
+
.I 41
|
| 174 |
+
.W
|
| 175 |
+
Is alphabetical ordering of material considered to be a useful tool in
|
| 176 |
+
information retrieval? What studies have been done to compare the
|
| 177 |
+
effectiveness of alphabetical order with other organization schemes?
|
| 178 |
+
Is there a generally accepted form of arranging material in
|
| 179 |
+
alphabetical order, and is there an easy way of achieving this form
|
| 180 |
+
without going to a great amount of effort?
|
| 181 |
+
|
| 182 |
+
.I 42
|
| 183 |
+
.W
|
| 184 |
+
The average student or researcher has difficulty in comprehending the
|
| 185 |
+
vocabulary of information retrieval. It appears important that this
|
| 186 |
+
new field be understood before it is to be fully accepted. What basic
|
| 187 |
+
articles would provide an understanding of the various important aspects
|
| 188 |
+
of the information storage and retrieval?
|
| 189 |
+
|
| 190 |
+
.I 43
|
| 191 |
+
.W
|
| 192 |
+
The difficulties encountered in information retrieval systems are often
|
| 193 |
+
less related to the equipment used than to the failure to plan
|
| 194 |
+
adequately for document analysis, indexing, and machine coding. The
|
| 195 |
+
position of the programmer is to take a problem and write it in a way
|
| 196 |
+
in which the equipment will understand. What articles have been written
|
| 197 |
+
describing research in maximizing the effectiveness of programming?
|
| 198 |
+
|
| 199 |
+
.I 44
|
| 200 |
+
.W
|
| 201 |
+
There are presently fifty to one hundred technical journals being
|
| 202 |
+
published. On the average, two new journals appear every day. In
|
| 203 |
+
the many journals published, one to two million articles appear every
|
| 204 |
+
year. What attempts have been made to cope with this amount of
|
| 205 |
+
scientific and technical publication in terms of analysis, control,
|
| 206 |
+
storage, and retrieval?
|
| 207 |
+
|
| 208 |
+
.I 45
|
| 209 |
+
.W
|
| 210 |
+
I am looking for information about the impact of automation on
|
| 211 |
+
libraries and its significance for libraries in general. This includes
|
| 212 |
+
the increasing importance of automation in view of the proliferation of
|
| 213 |
+
information today, and how automation can help libraries cope with
|
| 214 |
+
this problem. How will automation affect libraries and how should they
|
| 215 |
+
react to the idea of automation?
|
| 216 |
+
|
| 217 |
+
.I 46
|
| 218 |
+
.W
|
| 219 |
+
I am seeking information on the use of data processing in libraries and
|
| 220 |
+
the mechanization of routine library processes and procedures. I would
|
| 221 |
+
like descriptions of both general and specific applications of
|
| 222 |
+
automation in such areas as circulation, cataloging, acquisitions,
|
| 223 |
+
serial records, and other record-keeping. Examples should be based on
|
| 224 |
+
the operation of a conventional public or university library, or
|
| 225 |
+
practices in a special library which could also be applied in a public
|
| 226 |
+
or university library. Give descriptions of equipment and operations,
|
| 227 |
+
both present and projected.
|
| 228 |
+
|
| 229 |
+
.I 47
|
| 230 |
+
.W
|
| 231 |
+
Is there any established means at present for an international exchange
|
| 232 |
+
of material about information retrieval? If there is, does it take
|
| 233 |
+
the form of an international agency or center which regularly
|
| 234 |
+
distributes information retrieval methods and research results? If
|
| 235 |
+
there is not, in what ways has this material crossed national
|
| 236 |
+
boundaries? What seem to have been some of the problems blocking a
|
| 237 |
+
better international exchange, and is any effort being made to solve
|
| 238 |
+
some of those problems?
|
| 239 |
+
|
| 240 |
+
.I 48
|
| 241 |
+
.W
|
| 242 |
+
Information retrieval is still such a new and experimental field that a
|
| 243 |
+
line distinguishing research and practice is often difficult - even
|
| 244 |
+
impossible - to draw. Are there, however, actual centers of research
|
| 245 |
+
on information retrieval? If so, in which countries are they
|
| 246 |
+
located? Who supports them - government, business, universities, or
|
| 247 |
+
libraries? Can information retrieval as a specialized research
|
| 248 |
+
discipline be said to be emerging, or is it still an amalgam of skills
|
| 249 |
+
from other fields, such as mathematics, engineering, and library
|
| 250 |
+
science? In other words, tell me about information retrieval research.
|
| 251 |
+
|
| 252 |
+
.I 49
|
| 253 |
+
.W
|
| 254 |
+
Most resources have been spent on applying information retrieval
|
| 255 |
+
techniques to the physical and medical sciences. But, has information
|
| 256 |
+
retrieval been used at all in the natural sciences, social sciences,
|
| 257 |
+
and humanities? If so, what have been some of the problems which have
|
| 258 |
+
been encountered with these subject areas and how have they been
|
| 259 |
+
solved, if at all? Have the characteristics of these subject areas
|
| 260 |
+
necessitated the development of new information retrieval techniques?
|
| 261 |
+
What are the prospcts for future machine control in these areas?
|
| 262 |
+
|
| 263 |
+
.I 50
|
| 264 |
+
.W
|
| 265 |
+
Is there any use for traditional classification schemes - DDC, UDC, LC,
|
| 266 |
+
etc. - in information retrieval systems? If there is, which scheme
|
| 267 |
+
appears most suited to machine use and where has it been applied?
|
| 268 |
+
If there is not, why are these classification schemes irrelevant?
|
| 269 |
+
Has research shown that a subject classification of knowledge is
|
| 270 |
+
completely unnecessary in machine systems? Or, have new schemes
|
| 271 |
+
been devised which appear to be more suited to machine use?
|
| 272 |
+
|
| 273 |
+
.I 51
|
| 274 |
+
.W
|
| 275 |
+
Coordinate indexing utilizes descriptors for controlled language. Of
|
| 276 |
+
what use are descriptors in the construction of an index? How can
|
| 277 |
+
descriptors be used for searching in an information retrieval system?
|
| 278 |
+
|
| 279 |
+
.I 52
|
| 280 |
+
.W
|
| 281 |
+
What are the characteristics of MEDLARS (Medical Literature Analysis
|
| 282 |
+
and Retrieval System) project which has been undertaken by the
|
| 283 |
+
National Library of Medicine? How does it index current medical
|
| 284 |
+
journals and of what relation is this indexing system to Index Medicus?
|
| 285 |
+
What are the major components of the MEDLARS project and its major operating
|
| 286 |
+
details?
|
| 287 |
+
|
| 288 |
+
.I 53
|
| 289 |
+
.W
|
| 290 |
+
How can the computer be used in medical science for diagnostic and
|
| 291 |
+
clinical record keeping purposes? Have any programs of automation
|
| 292 |
+
been tried in hospitals? If so, what have been the results?
|
| 293 |
+
What problems have been encountered in the use of automation in
|
| 294 |
+
medicine? For what purposes can an automated system of clinical
|
| 295 |
+
records be used? What are other possible uses of the computer in medicine?
|
| 296 |
+
|
| 297 |
+
.I 54
|
| 298 |
+
.W
|
| 299 |
+
What is the effect on librarians of automation? Note the new types
|
| 300 |
+
of technology to be used in the library which will have an effect on
|
| 301 |
+
the status, position, and function of the librarians. What changes
|
| 302 |
+
are being contemplated or have been initiated to introduce automation
|
| 303 |
+
into the education of librarians?
|
| 304 |
+
|
| 305 |
+
.I 55
|
| 306 |
+
.W
|
| 307 |
+
What are the aims and objectives of the medical literature analysis
|
| 308 |
+
and retrieval system (MEDLARS)? How does MEDLARS operate? What are
|
| 309 |
+
the possible applications of MEDLARS to future information retrieval
|
| 310 |
+
systems?
|
| 311 |
+
|
| 312 |
+
.I 56
|
| 313 |
+
.W
|
| 314 |
+
The standard method of finding information in today's libraries is
|
| 315 |
+
through the use of the alphabetically arranged card catalog or the
|
| 316 |
+
classified catalog based on a classification system such as the DC or
|
| 317 |
+
LC. Can these systems be modified for use with automated information
|
| 318 |
+
retrieval?
|
| 319 |
+
|
| 320 |
+
.I 57
|
| 321 |
+
.W
|
| 322 |
+
In catalogs which are either arranged alphabetically or arranged by
|
| 323 |
+
classification number, the LC entry, printed in readable language, is
|
| 324 |
+
ultimately important because the individual looking for information
|
| 325 |
+
has a definite author, title, or subject phrase in his language
|
| 326 |
+
(probably English in our case) in mind. Will LC entries and subject
|
| 327 |
+
headings be used in the same manner in automated systems?
|
| 328 |
+
|
| 329 |
+
|
| 330 |
+
|
| 331 |
+
.I 58
|
| 332 |
+
.T
|
| 333 |
+
Directions in Library Networking
|
| 334 |
+
.A
|
| 335 |
+
Avram, H.D.
|
| 336 |
+
McCallum, S.H.
|
| 337 |
+
.W
|
| 338 |
+
Bibliographic control before and after MARC is reviewed. The capability
|
| 339 |
+
of keying into online systems brought an interdependence among libraries,
|
| 340 |
+
the service centers that mediate between them, and the large utilities that
|
| 341 |
+
process and distribute data. From this has developed the basic network
|
| 342 |
+
structure among libraries in the United States. The independent development
|
| 343 |
+
of major networks has brought problems in standardization and coordination.
|
| 344 |
+
The authors point out that while technology has led toward centralization
|
| 345 |
+
of automated library services, new developments are now pushing toward
|
| 346 |
+
decentralization. Coordination is a requirement to avoid fragmentation in
|
| 347 |
+
this new environment.
|
| 348 |
+
.B
|
| 349 |
+
(JASIS, Vol. 31, No. 6, November 1980, pp. 438-444)
|
| 350 |
+
|
| 351 |
+
.I 59
|
| 352 |
+
.T
|
| 353 |
+
Performance Testing of a Book and Its Index as a Information Retrieval
|
| 354 |
+
System
|
| 355 |
+
.A
|
| 356 |
+
Bennion, B.C.
|
| 357 |
+
.W
|
| 358 |
+
The retrieval performance of book indexes can be measured in terms of
|
| 359 |
+
their ability to direct a user selectively to text material whose identity
|
| 360 |
+
but not location is known. The method requires human searchers to base
|
| 361 |
+
their searching strategies on actual passages from the book rather than on
|
| 362 |
+
test queries, natural or contrived. It circumvents the need for relevance
|
| 363 |
+
judgement, but still yields performance indicators that correspond
|
| 364 |
+
approximately to the recall and precision ratios of large document retrieval
|
| 365 |
+
system evaluation. A preliminary application of the method to the subject
|
| 366 |
+
indexing of two major encyclopedias showed one encyclopedia apparently
|
| 367 |
+
superior in both the finding and discrimination abilities of retrieval
|
| 368 |
+
performance. The method is presently best suited for comparative testing
|
| 369 |
+
since its ability to yield absolute or reproducible measures is as yet not
|
| 370 |
+
established.
|
| 371 |
+
.B
|
| 372 |
+
(JASIS, Vol. 31, No. 4, July 1980, pp. 264-270)
|
| 373 |
+
|
| 374 |
+
.I 60
|
| 375 |
+
.T
|
| 376 |
+
The Combined Use of Bibliographic Coupling and Cocitation for Document
|
| 377 |
+
Retrieval
|
| 378 |
+
.A
|
| 379 |
+
Bichteler, J.
|
| 380 |
+
Eaton, E.A. III
|
| 381 |
+
.W
|
| 382 |
+
A linkage similarity measure which takes into account both the bibliographic
|
| 383 |
+
coupling of documents and their cocitations (both cited and citing papers)
|
| 384 |
+
produced improved document retrieval over a measure based only on
|
| 385 |
+
bibliographic coupling. The test collection consisted of 1712 papers whose
|
| 386 |
+
relevance to specific queries had been judged by users. To evaluate the
|
| 387 |
+
effect of using cocitation data, we calculated for each query two measures
|
| 388 |
+
of similarity between each relevant paper and every other paper retrieved.
|
| 389 |
+
Papers were then sorted by the similarity measures, producing two ordered
|
| 390 |
+
lists. We then compared the resulting predictions of relevance, partial
|
| 391 |
+
relevance, and non-relevance to the user's evaluations of the same papers.
|
| 392 |
+
Overall, the change from the bibliographic coupling measure to the linkage
|
| 393 |
+
similarity measure, representing the introduction of cocitation data,
|
| 394 |
+
resulted in better retrieval performance.
|
| 395 |
+
.B
|
| 396 |
+
(JASIS, Vol. 31, No. 4, July 1980, pp. 278-282)
|
| 397 |
+
|
| 398 |
+
.I 61
|
| 399 |
+
.T
|
| 400 |
+
Searching Biases in Large Interactive Document Retrieval Systems
|
| 401 |
+
.A
|
| 402 |
+
Blair, D.C.
|
| 403 |
+
.W
|
| 404 |
+
The way that individuals construct and modify search queries on a
|
| 405 |
+
large interactive document retrieval system is subject to systematic biases
|
| 406 |
+
similar to those that have been demonstrated in experiments on judgements
|
| 407 |
+
under uncertainty. These biases are shared by both naive and sophisticated
|
| 408 |
+
subjects and cause the inquirer searching for documents on a large interactive
|
| 409 |
+
system to construct and modify queries inefficiently. A searching algorithm
|
| 410 |
+
is suggested that helps the inquirer to avoid the effect of these biases.
|
| 411 |
+
.B
|
| 412 |
+
(JASIS, Vol. 31, No. 4, July 1980, pp. 271-277)
|
| 413 |
+
|
| 414 |
+
.I 62
|
| 415 |
+
.T
|
| 416 |
+
Fuzzy Requests: An Approach to Weighted Boolean Searches
|
| 417 |
+
.A
|
| 418 |
+
Bookstein, A.
|
| 419 |
+
.W
|
| 420 |
+
This article concerns the problem of how to permit a patron to
|
| 421 |
+
represent the relative importance of various index terms in a Boolean
|
| 422 |
+
request while retaining the desirable properties of a Boolean system.
|
| 423 |
+
The character of classical Boolean systems is reviewed and related to the
|
| 424 |
+
notion of fuzzy sets. The fuzzy set concept then forms the basis of the
|
| 425 |
+
concept of a fuzzy request in which weights are assigned to index terms.
|
| 426 |
+
Ther properties of such a system are discussed, and it is shown that such
|
| 427 |
+
systems retain the manipulability of traditional Boolean requests.
|
| 428 |
+
.B
|
| 429 |
+
(JASIS, Vol. 31, No. 4, July 1980, pp. 240-247)
|
| 430 |
+
|
| 431 |
+
.I 63
|
| 432 |
+
.T
|
| 433 |
+
Feature Comparison of an In-House Information Retrieval System With a
|
| 434 |
+
Commercial Search Service
|
| 435 |
+
.A
|
| 436 |
+
Boyle, S.O.
|
| 437 |
+
Miller, A.P.
|
| 438 |
+
.W
|
| 439 |
+
A commercially available online search was used as a standard for
|
| 440 |
+
comparative searching and evaluation of an in-house information system
|
| 441 |
+
based on automatic indexing. System features were identified and
|
| 442 |
+
evaluated on the basis of their usefulness in various kinds of searching,
|
| 443 |
+
their ease in implementation, and how they are influenced by differences
|
| 444 |
+
in user type or specific applications. Some common features of the
|
| 445 |
+
commercial system, such as online instruction, user-specified print formats,
|
| 446 |
+
dictionary display, and truncation, are seen to be unnecessary or
|
| 447 |
+
impractical for the in-house system. In designing the in-house system,
|
| 448 |
+
therefore, detald consideration must be given to the applications,
|
| 449 |
+
operating environment, and real user needs. While a commercial system can
|
| 450 |
+
serve as a useful standard for comparative evaluation, one must be
|
| 451 |
+
careful not to attempt to duplicate it blindly in-house.
|
| 452 |
+
.B
|
| 453 |
+
(JASIS, Vol. 31, No. 5, September 1980, pp. 309-317)
|
| 454 |
+
|
| 455 |
+
.I 64
|
| 456 |
+
.T
|
| 457 |
+
Measurement in Information Science: Objective and Subjective Metrical Space
|
| 458 |
+
.A
|
| 459 |
+
Brookes, B.C.
|
| 460 |
+
.W
|
| 461 |
+
It is argued that in information science we have to distinguish
|
| 462 |
+
physical, objective, or document space from perspective, subjective, or
|
| 463 |
+
information space. These two spaces are like maps and landscapes: each
|
| 464 |
+
is a systematic distortion of the other. However, transformation can be
|
| 465 |
+
easily made once the two spaces are distinguished. If the transformations
|
| 466 |
+
are omitted we only get unhelpful physical solutions to information problems.
|
| 467 |
+
.B
|
| 468 |
+
(JASIS, Vol. 31, No. 4, July 1980, pp. 248-255)
|
| 469 |
+
|
| 470 |
+
.I 65
|
| 471 |
+
.T
|
| 472 |
+
A Model of Cluster Searching Based on Classification
|
| 473 |
+
.A
|
| 474 |
+
Croft, W.B.
|
| 475 |
+
.W
|
| 476 |
+
The use of document clusters has been suggested as an efficient file
|
| 477 |
+
organization for a document retrieval system. It is possible that by
|
| 478 |
+
using this information about the relationships between documents that the
|
| 479 |
+
effectiveness of the system (i.e., its ability to distinguish relevant
|
| 480 |
+
from non-relevant documents) may also be improved. In this paper a
|
| 481 |
+
probabilistic model of cluster searching based on query classification is
|
| 482 |
+
described. This model is tested with retrieval experiments which indicate
|
| 483 |
+
that it can be more effective than heuristic cluster searches and cluster
|
| 484 |
+
searches based on other models. It can also be more effective than a full
|
| 485 |
+
search in which every document is compared to the query. The efficiency
|
| 486 |
+
aspects of the implementation of the model are discussed.
|
| 487 |
+
.B
|
| 488 |
+
(Inform. Systems, Vol. 5, No. 3, 1980, pp. 189-195)
|
| 489 |
+
|
| 490 |
+
.I 66
|
| 491 |
+
.T
|
| 492 |
+
The Technology of Library and Information Networks
|
| 493 |
+
.A
|
| 494 |
+
Epstein, H.
|
| 495 |
+
.W
|
| 496 |
+
Current online library network technology is described, including the
|
| 497 |
+
physical and functional aspects of networks. Three types of networks are
|
| 498 |
+
distinguished: search service (e.g., SDC, Lockheed), customized service
|
| 499 |
+
that provide bibliographic files (e.g., OCLC, Inc., RLIN), and service
|
| 500 |
+
center (e.g., NELINET, INCOLSA). It is predicted that as technology
|
| 501 |
+
evolves more services will be provided outside the library directly to the
|
| 502 |
+
user through his home or office.
|
| 503 |
+
.B
|
| 504 |
+
(JASIS, Vol. 31, No. 6, November 1980, pp. 425-437)
|
| 505 |
+
|
| 506 |
+
.I 67
|
| 507 |
+
.T
|
| 508 |
+
The Use of Titles for Automatic Document Classification
|
| 509 |
+
.A
|
| 510 |
+
Hamill, K.A.
|
| 511 |
+
Zamora, A.
|
| 512 |
+
.W
|
| 513 |
+
An experimental computer program has been developed to classify
|
| 514 |
+
documents according to the 80 sections and five major section groupings of
|
| 515 |
+
Chemical Abstracts (CA). The program uses pattern recognition techniques
|
| 516 |
+
supplemented by heuristics. During the "training" phase, words from
|
| 517 |
+
pre-classified documents are selected, and the probability of occurrence
|
| 518 |
+
of each word in each section of CA is computed and stored in a reference
|
| 519 |
+
dictionary. The "classification" phase matches each word of a document
|
| 520 |
+
title against the dictionary and assigns a section number to the document
|
| 521 |
+
using weights derived from the probabilities in the dictionary. Heuristic
|
| 522 |
+
techniques are used to normalize word variants such as plurals, past
|
| 523 |
+
tenses, and gerunds in both the training phase and the classification
|
| 524 |
+
phase. The dictionary lookup technique is supplemented by the analysis of
|
| 525 |
+
chemical nomenclature terms into their component word roots to influence
|
| 526 |
+
the section to which the documents are assigned. Program performance and
|
| 527 |
+
human consistency have been evaluated by comparing the program results
|
| 528 |
+
against the published sections of CA and by conducting an experiment with
|
| 529 |
+
people experienced in the assignment of documents to CA sections. The
|
| 530 |
+
program assigned approximately 78% of the documents to the correct major
|
| 531 |
+
section groupings of CA and 67% of the correct sections or cross-references
|
| 532 |
+
at a rate of 100 documents per second.
|
| 533 |
+
.B
|
| 534 |
+
(JASIS, Vol. 31, No. 6, November 1980, pp. 396-402)
|
| 535 |
+
|
| 536 |
+
.I 68
|
| 537 |
+
.T
|
| 538 |
+
Brief Communications
|
| 539 |
+
.A
|
| 540 |
+
Harding, A.G.
|
| 541 |
+
Willett, P.
|
| 542 |
+
.W
|
| 543 |
+
Some of the automatic classification procedures used in information
|
| 544 |
+
retrieval derive clusters of documents from an intermediate similarity
|
| 545 |
+
matrix, the computation of which involves comparing each of the documents
|
| 546 |
+
in the collection with all of the others. It has recently been suggested
|
| 547 |
+
that many of these comparisons, specifically those between documents
|
| 548 |
+
having no terms in common, may be avoided by means of the uyse of an inverted
|
| 549 |
+
file to the document collection. This communication shows that the
|
| 550 |
+
approach will effect reductions in the number of interdocument comparisons
|
| 551 |
+
only if the documents are each indexed by a limited number of indexing
|
| 552 |
+
terms; if exhaustive indexing is used, many document pairs will be compared
|
| 553 |
+
several times over and the computation will be greater than when
|
| 554 |
+
conventional approaches are used to generate the similarity matrix.
|
| 555 |
+
.B
|
| 556 |
+
(JASIS, Vol. 31, No. 4, July 1980, pp. 298-299)
|
| 557 |
+
|
| 558 |
+
.I 69
|
| 559 |
+
.T
|
| 560 |
+
The Application of a Minicomputer to Thesaurus Construction
|
| 561 |
+
.A
|
| 562 |
+
Kazlauskas, E.J.
|
| 563 |
+
Holt, T.D.
|
| 564 |
+
.W
|
| 565 |
+
The Use of a minicomputer in various phases of creating the thesaurus
|
| 566 |
+
for the National Information Center for Special Education Materials
|
| 567 |
+
(NICSEM) database is described. The minicomputer is used to collect,
|
| 568 |
+
edit, and correct candidate thesaurus terms. The use of the minicomputer
|
| 569 |
+
eases the process of grouping terms into files of similar concepts and
|
| 570 |
+
facilitates the generation of products useful in vocabulary review and in
|
| 571 |
+
term structuring. Syndetic relations, indicated by assigning coded
|
| 572 |
+
identification numbers, are altered easily in the design phase to reflect
|
| 573 |
+
restructuring requirements. Because thesaurus terms are already in machine-
|
| 574 |
+
readable form, it is simple to prepare print programs to provide permuted,
|
| 575 |
+
alphabetic, hierarchical, and chart formatted term displays. Overall, the
|
| 576 |
+
use of the minicomputer facilitates initial thesaurus entry development by
|
| 577 |
+
reducing clerical effort, editorial staff decisions, and overall processing
|
| 578 |
+
times.
|
| 579 |
+
.B
|
| 580 |
+
(JASIS, Vol. 31, No. 5, September 1980, pp. 363-368)
|
| 581 |
+
|
| 582 |
+
.I 70
|
| 583 |
+
.T
|
| 584 |
+
Adaptive Design for Decision Support Systems
|
| 585 |
+
.A
|
| 586 |
+
Keen, P.G.W.
|
| 587 |
+
.W
|
| 588 |
+
Decision Support Systems (DSS) represent a concept of the role of
|
| 589 |
+
computers within the decision making process. The term has become a
|
| 590 |
+
rallying cry for researchers, practitioners, and managers concerned that
|
| 591 |
+
Management Science and Management Information Systems fields have become
|
| 592 |
+
unnecessarily narrow in focus. As with many rallying cries, the term is
|
| 593 |
+
not well defined. For some writers, DSS simply mean interactive systems
|
| 594 |
+
for use by managers. To others, the key issue is support, rather than
|
| 595 |
+
system. They focus on understanding and improving the decision process;
|
| 596 |
+
a DSS is then designed using any available and suitable technology. Some
|
| 597 |
+
researchers view DSS as a subfield of MIS, while others regard it as an
|
| 598 |
+
extension of Management Science techniques. The former define Decision
|
| 599 |
+
Support as providing managers with access to data and the latter as giving
|
| 600 |
+
them access to analytic models.
|
| 601 |
+
|
| 602 |
+
The key argument of this paper is that the term DSS is relevant to
|
| 603 |
+
situations where a "final" system can be developed only through an
|
| 604 |
+
adaptive process of learning and evolution. The design strategy must
|
| 605 |
+
then focus on getting finished; this is very different from Management
|
| 606 |
+
Science and Data Processing approaches. The research issued for DSS
|
| 607 |
+
center around adaption and evolution; they include managerial learning
|
| 608 |
+
representation of tasks and user behavior, design architecture and
|
| 609 |
+
strategies for getting started.
|
| 610 |
+
.B
|
| 611 |
+
(Database, Vol. 12, No. 1-2, Fall 1980)
|
| 612 |
+
|
| 613 |
+
.I 71
|
| 614 |
+
.T
|
| 615 |
+
An Automatic Method for Extracting Significant
|
| 616 |
+
Phrases in Scienfific or Technical Documents
|
| 617 |
+
.A
|
| 618 |
+
Maeda, T.
|
| 619 |
+
Momouchi, J.
|
| 620 |
+
Sawamura, H.
|
| 621 |
+
.W
|
| 622 |
+
A new method is described to extract significant phrases in the title
|
| 623 |
+
and the abstreact of scientific or technical documents. The method is
|
| 624 |
+
based upon a text structure analysis and uses a relatively small dictionary.
|
| 625 |
+
The dictionary has been constructed based on the knowledge about concepts
|
| 626 |
+
in the field of science or technology and some lexical knowledge. For
|
| 627 |
+
significant phrases and their component items may be used in different
|
| 628 |
+
meanings among the fields. A text analysius approach has been applied to
|
| 629 |
+
select significant phrases as substantial and semantic information carriers
|
| 630 |
+
of the contents of the abstract.
|
| 631 |
+
|
| 632 |
+
The results of the experiment for five sets of documents have shown
|
| 633 |
+
that the significant phrases are effectively extracted in all cases, and
|
| 634 |
+
the number of them for every document and the processing time is fairly
|
| 635 |
+
satisfactory. The information representation of the document, partly
|
| 636 |
+
using the method, is discussed with relation to the construction of the
|
| 637 |
+
document information retrieval system.
|
| 638 |
+
.B
|
| 639 |
+
(Info. Proc. & Management, Vol. 16, No. 3, 1980, pp.119-127)
|
| 640 |
+
|
| 641 |
+
.I 72
|
| 642 |
+
.T
|
| 643 |
+
Answer-Passage Retrieval by Text Searching
|
| 644 |
+
.A
|
| 645 |
+
O'Connor, J.
|
| 646 |
+
.W
|
| 647 |
+
Passage retrieval (already operational for lawyers) has advantages in
|
| 648 |
+
output form opver references retrieval and is economically feasible.
|
| 649 |
+
Previous experiments in passage retrieval for scientists have demonstrated
|
| 650 |
+
recall and false retrieval rates as good or better than those of present
|
| 651 |
+
reference retrieval services. The present experiment involved a greater
|
| 652 |
+
variety of forms of retrieval question. In addition, search words were
|
| 653 |
+
selected independently by two different people for each retrieval question.
|
| 654 |
+
The search words selected, in combination with the computer procedures used
|
| 655 |
+
for passage retrieval, produced average recall ratios of 72 and 67%,
|
| 656 |
+
respectively, for the two selectors. The false retrieval rates were (except
|
| 657 |
+
for one predictably difficult question) respectively 13 and 10 falsely
|
| 658 |
+
retrieved sentences per answer-paper retrieved.
|
| 659 |
+
.B
|
| 660 |
+
(JASIS, Vol. 31, No. 4, July 1980, pp. 227-239)
|
| 661 |
+
|
| 662 |
+
.I 73
|
| 663 |
+
.T
|
| 664 |
+
Partial-Match Retrieval Using Indexed Descriptor Files
|
| 665 |
+
.A
|
| 666 |
+
Pfaltz, J.L.
|
| 667 |
+
Berman, W.J.
|
| 668 |
+
Cagley, E.M.
|
| 669 |
+
.W
|
| 670 |
+
In this paper we describe a practical method of partial-match retrieval
|
| 671 |
+
in very large data files. A binary code word, called a descriptor, is
|
| 672 |
+
associated with each record of the file. These record descriptors are
|
| 673 |
+
then used to form a derived descriptor for a block of several records,
|
| 674 |
+
which will serve as an index for the block as a whole; hence, the name
|
| 675 |
+
"indexed descriptor files."
|
| 676 |
+
|
| 677 |
+
First the structure of these files is described and a simple, efficient
|
| 678 |
+
retrieval algorithm is presented. Then its expected behavior, in terms of
|
| 679 |
+
storage accesses, is analyzed in detail. Two different file creation
|
| 680 |
+
procedures are sketched, and a number of ways in which the file organization
|
| 681 |
+
can be "tuned" to a particular application is suggested.
|
| 682 |
+
.B
|
| 683 |
+
(Commun. ACM, Vol. 23, No. 9, September 1980, pp. 522-528)
|
| 684 |
+
|
| 685 |
+
.I 74
|
| 686 |
+
.T
|
| 687 |
+
Cooperation and Competition Among Library Networks
|
| 688 |
+
.A
|
| 689 |
+
Robinson, B.M.
|
| 690 |
+
.W
|
| 691 |
+
Recenty technological advances and the success of OCLC, Inc. has led
|
| 692 |
+
to the emergence of three additional nonprofit library networks: the
|
| 693 |
+
Research Libraries Information Network (RLIN) of the Research Libraries
|
| 694 |
+
Group, Inc., the University of Toronto Library Automation System (UTLAS),
|
| 695 |
+
and the Washington Library Network (WLN). This paper examines the economic
|
| 696 |
+
and technological factors affecting the evolution of these networks and
|
| 697 |
+
also explores the role of those state and regional (multistate) networks
|
| 698 |
+
that broker OCLC services. The competitive and cooperative nature of
|
| 699 |
+
network relationships is a major theme of the discussion.
|
| 700 |
+
.B
|
| 701 |
+
(JASIS, Vol. 31, No. 6, November 1980, pp. 413-424)
|
| 702 |
+
|
| 703 |
+
.I 75
|
| 704 |
+
.T
|
| 705 |
+
An Integrated Understander
|
| 706 |
+
.A
|
| 707 |
+
Schank, R.C.
|
| 708 |
+
Lebowitz, M.
|
| 709 |
+
Birnbarim, L.
|
| 710 |
+
.W
|
| 711 |
+
A new type of natural language parser is presented. The idea behind
|
| 712 |
+
this parser is to map input sentences into the deepest form of the
|
| 713 |
+
representation of their meaning and inferences, as is appropriate. The
|
| 714 |
+
parser is not distinct from an entire understanding system. It uses an
|
| 715 |
+
integrated conception of inferences, scripts, plans and other knowledge to
|
| 716 |
+
aid in the parse. Furthermore, it does not attempt to parse everything it
|
| 717 |
+
sees. Rather, it determines what is most interesting and concentrates on
|
| 718 |
+
that, ignoring the rest.
|
| 719 |
+
.B
|
| 720 |
+
(Am. J. of Computational Linguistics, Vol. 6, No. 1, January-March 1980,
|
| 721 |
+
pp. 13-30)
|
| 722 |
+
|
| 723 |
+
.I 76
|
| 724 |
+
.T
|
| 725 |
+
Library Networks and Resource Sharing in the United States:
|
| 726 |
+
An Historical and Philosophical Overview
|
| 727 |
+
.A
|
| 728 |
+
Stevens, N.D.
|
| 729 |
+
.W
|
| 730 |
+
This paper discusses the origins of library networks and traces their
|
| 731 |
+
development in the United States in the late 1960s through the present.
|
| 732 |
+
The concept of resource sharing, with particular attention to the inter-
|
| 733 |
+
library loan and programs for the cooperative acquisition and storage of
|
| 734 |
+
materials, is examined in relationship to library networks. In particular,
|
| 735 |
+
attention is given to the question of how these two major components of
|
| 736 |
+
library cooperation, which have tended to be separate, might become more
|
| 737 |
+
closely integrated.
|
| 738 |
+
.B
|
| 739 |
+
(JASIS, Vol. 31, No. 6, November 1980, pp. 405-412)
|
| 740 |
+
|
| 741 |
+
.I 77
|
| 742 |
+
.T
|
| 743 |
+
Normalization of Titles and Their Retrieval
|
| 744 |
+
.A
|
| 745 |
+
Takamatsu, S.
|
| 746 |
+
Fujita, UY.
|
| 747 |
+
Nishida, F.
|
| 748 |
+
.W
|
| 749 |
+
This paper presents a method of normalizations of English titles and
|
| 750 |
+
their retrieval. The title expressed by a noun phrase or a noun clause
|
| 751 |
+
is converted to a function-expression by parsing. For the retrieval with
|
| 752 |
+
a reasonable recall rate as well as a high precision rate, the function-
|
| 753 |
+
expression is transformed to a predicate-governor form, and then normalized
|
| 754 |
+
to a standard form. Therefrom, various items are extracted and recorded
|
| 755 |
+
in a hierarchical tree-like inverted file.
|
| 756 |
+
|
| 757 |
+
In order to keep the recall rate in a reasonable value, several
|
| 758 |
+
retrieval stages are implemented based on the key-term and case-label
|
| 759 |
+
matching. The retrieval is controlled by the preciseness of the specification
|
| 760 |
+
of case-labels for each key-term.
|
| 761 |
+
.B
|
| 762 |
+
(Info. Proc. & Management, Vol. 16, No. 3, 1980, pp. 155-167)
|
| 763 |
+
|
| 764 |
+
.I 78
|
| 765 |
+
.T
|
| 766 |
+
Cascaded ATN Grammars
|
| 767 |
+
.A
|
| 768 |
+
Woods, W.A.
|
| 769 |
+
.W
|
| 770 |
+
A generalization of the notion of ATN grammar, called a cascaded ATN
|
| 771 |
+
(CATN), is prescribed. CATN's permit a decomposition of complex language
|
| 772 |
+
understanding behavior into a sequence of cooperating ATN's with separate
|
| 773 |
+
domain of responsibility, where each stage (called an ATN transducer)
|
| 774 |
+
takes its input from the output of the previous stage. The paper includes
|
| 775 |
+
an extensive discjussion of the principles of factoring-conceptual
|
| 776 |
+
factoring reduces the number of places that a given fact needs to be
|
| 777 |
+
represented in a grammar, and hypothesis factoring reduces the number
|
| 778 |
+
of distinct hypotheses that have to be considered during parsing.
|
| 779 |
+
.B
|
| 780 |
+
(Am. of Computational Linguistics, Vol. 6, No. 1, January-March 1980)
|
| 781 |
+
|
| 782 |
+
.I 79
|
| 783 |
+
.T
|
| 784 |
+
Algorithms for Processing Partial Match Queries Using Word Fragments
|
| 785 |
+
.A
|
| 786 |
+
Alagar, V.S.
|
| 787 |
+
.W
|
| 788 |
+
Algorithms are given to process partially specified queries in a
|
| 789 |
+
compressed database system. The proposed methods handle effectively
|
| 790 |
+
queries that use either whole words or word fragments as language elements.
|
| 791 |
+
The methods are compared and critically evaluated in terms of the design
|
| 792 |
+
and retrieval costs. The analyses show that the method which exploits the
|
| 793 |
+
interdependence of fragments as well as the relevance of fragments to
|
| 794 |
+
records in the file has maximum design cost and least retrieval cost.
|
| 795 |
+
.B
|
| 796 |
+
(Inform. Systems, Vol. 5, No. 4, April 1980, pp. 323-332)
|
| 797 |
+
|
| 798 |
+
.I 80
|
| 799 |
+
.T
|
| 800 |
+
A General Formulation of Bradford's Distribution: The Graph-Oriented
|
| 801 |
+
Approach
|
| 802 |
+
.A
|
| 803 |
+
Asai, I.
|
| 804 |
+
.W
|
| 805 |
+
From the detailed analysis of eight previously published mathematical
|
| 806 |
+
models, a general formulation of Bradford's distribution can be deduced as
|
| 807 |
+
follows: y = a log(x + c) + b, where y is the ratio of the cumulative
|
| 808 |
+
frequency of articles to the total number of articles and x is the ratio
|
| 809 |
+
of the rank of journals to the total number of journals. The parameters a, b,
|
| 810 |
+
and c are the slope, the intercept, and the shift in a straight line to log rank,
|
| 811 |
+
respectively. Each of the eight models is a special case of the general
|
| 812 |
+
formulation and is one of five types of formulation. In order to estimate
|
| 813 |
+
three unknown parameters, a statistical method using root-weighted square
|
| 814 |
+
error is proposed. A comparative experiment using 11 databases suggests that
|
| 815 |
+
the fifth type of formulation with three unknown parameters is the best fit
|
| 816 |
+
to the observed data. A further experiment shows that the deletion of the
|
| 817 |
+
droop data leads to a more accurate value of parameters and less error.
|
| 818 |
+
.B
|
| 819 |
+
(JASIS, Vol. 32, No. 2, March 1981, pp. 113-121)
|
| 820 |
+
|
| 821 |
+
.I 81
|
| 822 |
+
.T
|
| 823 |
+
Lexical Problems in Large Distributed Information Systems
|
| 824 |
+
.A
|
| 825 |
+
Berkovich, S.Y.
|
| 826 |
+
Shneiderman, B.
|
| 827 |
+
.W
|
| 828 |
+
The lexical problems in large information systems are created by the
|
| 829 |
+
necessity of handling a great number of names and their interrelations.
|
| 830 |
+
Such lexical problems are not covered completely by the concept data
|
| 831 |
+
dictionaries, which are mostly concerned with database scheme design rather
|
| 832 |
+
than the execution of operations. In this paper we introduce our view of a
|
| 833 |
+
lexical subsystem as a separate component in an information system architecture,
|
| 834 |
+
to deal with linguistic and control functions concerning the lexical problems
|
| 835 |
+
in local and network environments. The lexical suybsystem is a special
|
| 836 |
+
efficiently organized program package, which plays the role of a "linguistic
|
| 837 |
+
filter" in a broad sense for lexically incorrect queries, promotes integration
|
| 838 |
+
of databases and information retrieval systems, and facilitates the creation
|
| 839 |
+
of local information systems. We hope that lexical subsystems can become
|
| 840 |
+
productive for any large, especially distributed, information system.
|
| 841 |
+
.B
|
| 842 |
+
(Information Processing & Management, Vol. 16, February 1980, pp. 259-267)
|
| 843 |
+
|
| 844 |
+
.I 82
|
| 845 |
+
.T
|
| 846 |
+
The Relational Model in Information Retrieval
|
| 847 |
+
.A
|
| 848 |
+
Crawford, R.G.
|
| 849 |
+
.W
|
| 850 |
+
The relational model has received increasing attention during the
|
| 851 |
+
past decade. Its advantages include simplicity, consistency, and a sound
|
| 852 |
+
theoretical basis. In this article, the naturalness of viewing information
|
| 853 |
+
retrieval relationally is demonstrated. The relational model is presented,
|
| 854 |
+
and the relational organization of a bibliographical database is shown.
|
| 855 |
+
The notion of normalization is introduced and first, second, third, and
|
| 856 |
+
fourth normal forms are demonstrated. Relational languages are discussed,
|
| 857 |
+
including the relational calculus, relational algebra, and SEQUEL.
|
| 858 |
+
Numerous examples pertinent to information retrieval are presented in these
|
| 859 |
+
relational languages. Advantages of the relational approach to information
|
| 860 |
+
retrieval are noted.
|
| 861 |
+
.B
|
| 862 |
+
(JASIS, Vol. 32, No. 1, January 1981, pp. 51-64)
|
| 863 |
+
|
| 864 |
+
.I 83
|
| 865 |
+
.T
|
| 866 |
+
Electronic Information Interchange in an Office Environment
|
| 867 |
+
.A
|
| 868 |
+
DeSousa, M.R.
|
| 869 |
+
.W
|
| 870 |
+
This paper describes an architectural approach that provides information
|
| 871 |
+
exchange across a broad spectrum of user applications and office automation
|
| 872 |
+
offerings. Some of the architectures described herein are currently
|
| 873 |
+
implemented in existing IBM products. These and other architectures will
|
| 874 |
+
provide the basis for document interchange capability between products
|
| 875 |
+
such as the IBM 5520 Administrative System, the IBM System/370 Distributed
|
| 876 |
+
Office Support System (DISOSS), and the IBM Displaywriter System.
|
| 877 |
+
Specifically described is a document distribution architecture and its
|
| 878 |
+
associated data streams and others.
|
| 879 |
+
|
| 880 |
+
A general overview of the architectures as opposed to a detailed
|
| 881 |
+
technical description is provided. The architectures described are
|
| 882 |
+
protocols for interchange between application processes; they do not
|
| 883 |
+
address the specific user interface. The document distribution
|
| 884 |
+
architectures utilize SNA for data transmission and communications control
|
| 885 |
+
facilities.
|
| 886 |
+
.B
|
| 887 |
+
(IBM Systems Journal, Vol. 20, No. 1, 1981, pp. 4-22)
|
| 888 |
+
|
| 889 |
+
.I 84
|
| 890 |
+
.T
|
| 891 |
+
The Use of Automatic Relevance Feedback in Boolean Retrieval Systems
|
| 892 |
+
.A
|
| 893 |
+
Dillon, M.
|
| 894 |
+
Desper, J.
|
| 895 |
+
.W
|
| 896 |
+
A technique is described for automatic reformulation of boolean
|
| 897 |
+
queries. Based on patron relevance judgements of an initial retrieval,
|
| 898 |
+
prevalence measures are derived for terms appearing in the retrieved set
|
| 899 |
+
of documents that reflect a term's distribution among the relevant and
|
| 900 |
+
non-relevant documents. These measures are then used to guide the
|
| 901 |
+
construction of a boolean query for a subsequent retrieval. To illustrate
|
| 902 |
+
the technique, a series of tests is described of its application to a small
|
| 903 |
+
data base in an experimental environment. Results compare favourably with
|
| 904 |
+
feedback as employed in a SMART-type system. MOre extensive testing is
|
| 905 |
+
suggested to validate the technique.
|
| 906 |
+
.B
|
| 907 |
+
(Journal of Documentation, Vol. 36, No. 3, September 1980, pp. 197-208)
|
| 908 |
+
|
| 909 |
+
.I 85
|
| 910 |
+
.T
|
| 911 |
+
Interacting in Natural Language With Artificial Systems: The Donau Project
|
| 912 |
+
.A
|
| 913 |
+
Guida, G.
|
| 914 |
+
Somalvico, M.
|
| 915 |
+
.W
|
| 916 |
+
This paper is intended to propose a new methodological approach to
|
| 917 |
+
the conception and development of natural language understanding systems.
|
| 918 |
+
This new contribution is supported by the design, implementation, and
|
| 919 |
+
experimentation of DONAU: a general purpose domain oriented natural
|
| 920 |
+
language understanding system developed and presently running at the Milan
|
| 921 |
+
Polytechnic Artificial Intelligence Project. The system is based on a two
|
| 922 |
+
level modular architecture intended to overcome the lack of flexibility and
|
| 923 |
+
generality often pointed out in many existing systems, and to facilitate
|
| 924 |
+
the exchange of results and actual experiences between different projects.
|
| 925 |
+
The horizontal level allows an independent and parallel development of the
|
| 926 |
+
single segments of the system (syntactic analyser, information extractor,
|
| 927 |
+
legality controller). The vertical level ensures the possibility of changing
|
| 928 |
+
(enlarging or redefining) the definition of the semantic domain on which each
|
| 929 |
+
particular version of the system is oriented and specialized in a simple,
|
| 930 |
+
incremental, and user-oriented way. In the paper the general architecture of
|
| 931 |
+
the system and the mode of operation of each segment are illustrated in
|
| 932 |
+
detail. Linguistic models, knowledge representation, and parsing algorithms
|
| 933 |
+
are described and illustrated by means of selected examples. Performance
|
| 934 |
+
evaluations of the system in the application version on data base inquiry are
|
| 935 |
+
reported and discussed. Promising directions for future research are presented
|
| 936 |
+
in the conclusions.
|
| 937 |
+
.B
|
| 938 |
+
(Inform. Systems, Vol. 5, NO. 4, February 1980, pp. 333-344)
|
| 939 |
+
|
| 940 |
+
.I 86
|
| 941 |
+
.T
|
| 942 |
+
Approximate String Matching
|
| 943 |
+
.A
|
| 944 |
+
Hall, P.A.V.
|
| 945 |
+
Dowling, G.R.
|
| 946 |
+
.W
|
| 947 |
+
Approximate matching of strings is reviewed with the aim of
|
| 948 |
+
surveying techniques suitable for finding an item in a database when
|
| 949 |
+
there may be a spelling mistake or other error in the keyword. The
|
| 950 |
+
methods found are classified as either equivalence or similarity problems.
|
| 951 |
+
Equivalence problems are seen to be readily solved using canonical forms.
|
| 952 |
+
For similarity problems difference measures are surveyed, with a full
|
| 953 |
+
description of the well-established dynamic programming method relating
|
| 954 |
+
this to the approach using probabilities and likelihoods. Searches for
|
| 955 |
+
approximate matches in large sets using a difference function are seen to
|
| 956 |
+
be an open problem still, though several promising ideas have been
|
| 957 |
+
suggested. Approximate matching (error correction) during parsing is
|
| 958 |
+
briefly reviewed.
|
| 959 |
+
.B
|
| 960 |
+
(Computing Surveys, Vol. 12, No. 4, December 1980, pp. 381-402)
|
| 961 |
+
|
| 962 |
+
.I 87
|
| 963 |
+
.T
|
| 964 |
+
Using an Online Microfiche Catalog for Technical Service and Retrieval of
|
| 965 |
+
Bibliographic Data
|
| 966 |
+
.A
|
| 967 |
+
Hayes, R.M.
|
| 968 |
+
Borko, H.
|
| 969 |
+
.W
|
| 970 |
+
A prototype system is created that integrates a microfiche catalog
|
| 971 |
+
into an online computer system for bibliographic control. Costs and
|
| 972 |
+
operational data are collected and analyzed. The system permits the more
|
| 973 |
+
economical microfiche storage of catalog records than would be feasible
|
| 974 |
+
for comparable online magnetic disk storage. Experimental tests
|
| 975 |
+
demonstrate the feasibility of the online microfiche catalog system for use
|
| 976 |
+
in library technical services and retrieval of bibliographic data. The
|
| 977 |
+
primary result of the project is the creation of a completely operational
|
| 978 |
+
facility, including all equipment, software, procedures, and data bases
|
| 979 |
+
necessary to demonstrate the system. A second set of results is derived
|
| 980 |
+
from the experimental use of the system and the evaluation of costs and
|
| 981 |
+
times for various operations. The cost effectiveness of the online microfiche
|
| 982 |
+
catalog is demonstrated.
|
| 983 |
+
.B
|
| 984 |
+
(Information Processing and Management, Vol. 16, No. 6, February 1980,
|
| 985 |
+
pp. 277-289)
|
| 986 |
+
|
| 987 |
+
.I 88
|
| 988 |
+
.T
|
| 989 |
+
Natural Language Access to Information Systems. An Evaluation Study
|
| 990 |
+
of Its Acceptance by End Users
|
| 991 |
+
.A
|
| 992 |
+
Krause, J.
|
| 993 |
+
.W
|
| 994 |
+
The question is asked whether it is feasible to use subsets of
|
| 995 |
+
natural languages as query languages for data bases in actual applications
|
| 996 |
+
using the question answering system "USER SPECIALTY LANGUAGES" (USL).
|
| 997 |
+
Methods of evaluating a natural language based information system will
|
| 998 |
+
be discussed. The results (error and language structure evaluation)
|
| 999 |
+
suggest how to form the general architecture of application systems which
|
| 1000 |
+
use a subset of German as query language.
|
| 1001 |
+
.B
|
| 1002 |
+
(Inform. Systems, Vol. 5, No. 4, May 1980, pp. 297-318)
|
| 1003 |
+
|
| 1004 |
+
.I 89
|
| 1005 |
+
.T
|
| 1006 |
+
Some Considerations Relating to the Cost-Effectiveness of Online Services
|
| 1007 |
+
in Libraries
|
| 1008 |
+
.A
|
| 1009 |
+
Lancaster, F.W.
|
| 1010 |
+
.W
|
| 1011 |
+
In 1978 Collier presented some hypothetical data on economic aspects
|
| 1012 |
+
of the use of online services as compared with subscriptions to printed
|
| 1013 |
+
services in libraries. Collier's view of the economics of online searching
|
| 1014 |
+
seems misleadingly pessimistic because:
|
| 1015 |
+
|
| 1016 |
+
1. It looks only at costs but not at effectiveness in comparing the two
|
| 1017 |
+
modes of access and searching. An analysis combining cost and
|
| 1018 |
+
effectiveness aspects (i.e., a cost-effectiveness analysis) would
|
| 1019 |
+
give a completely different picture.
|
| 1020 |
+
|
| 1021 |
+
2. The way the cost data are presented is grossly unfair to the online
|
| 1022 |
+
mode of access and use.
|
| 1023 |
+
|
| 1024 |
+
This work contains corrected information regarding online and printed
|
| 1025 |
+
services in libraries.
|
| 1026 |
+
.B
|
| 1027 |
+
(Aslib Proceedings, 33(1), January 1981, pp. 10-14, printed in Great Britain)
|
| 1028 |
+
|
| 1029 |
+
.I 90
|
| 1030 |
+
.T
|
| 1031 |
+
Co-Citation Context Analysis and the Structure of Paradigms
|
| 1032 |
+
.A
|
| 1033 |
+
Small, H.
|
| 1034 |
+
.W
|
| 1035 |
+
Many information scientists are concerned with the operation of
|
| 1036 |
+
document retrieval systems serving scientists in various fields. The
|
| 1037 |
+
scientists served by these systems are often members of what have been called
|
| 1038 |
+
invisible colleges, groups of scientists in frequent communication with
|
| 1039 |
+
one another and involved with highly specialized subject matters. Often
|
| 1040 |
+
such groups are considered to share an intellectual perspective regarding
|
| 1041 |
+
this subject matter, which is sometimes referred to as a paradigm.
|
| 1042 |
+
|
| 1043 |
+
The purpose of this paper is to show how it is possible to identify
|
| 1044 |
+
paradigms, using the techniques of citation analysis. I will operationalize
|
| 1045 |
+
the notion of paradigm as a 'consensual structure of concepts in a field.'
|
| 1046 |
+
Suppose we have obtained a set of papers pertaining to some topic. Already
|
| 1047 |
+
knowing something about the field, we read each text and mark passages in
|
| 1048 |
+
which certain specific concepts are used or discussed. For example, we
|
| 1049 |
+
might find that a concept designated 'A' appears in some sub-set of the
|
| 1050 |
+
papers. Suppose further that we identify those papers in which concepts 'A'
|
| 1051 |
+
and 'B' are used together in the same papers in a certain specified manner.
|
| 1052 |
+
Clearly not all concepts will combine in a natural way, and not all authors
|
| 1053 |
+
combining concepts 'A' and 'B' will do so in the same way, though some
|
| 1054 |
+
predominant mode may emerge. For a set of n concepts their structure is
|
| 1055 |
+
given by the totality of admissible combinations of concepts taken from
|
| 1056 |
+
two to n at a time. The frequency with which a given combination occurs
|
| 1057 |
+
in the sample of papers on the topic is a measure of the degree of consensus
|
| 1058 |
+
regarding the particular concept combination within the corpus. For
|
| 1059 |
+
concepts taken two at a time, the structure can be displayed as a graph with
|
| 1060 |
+
concepts as nodes and the relations between them represented as lines (arcs)
|
| 1061 |
+
connecting the nodes. This definition of concept structure is
|
| 1062 |
+
similar to the semantic network of artificial intelligence except that in
|
| 1063 |
+
our approach a measure of consensus weights each arc of the graph.
|
| 1064 |
+
.B
|
| 1065 |
+
(Journal of Documentation, Vol. 36, No. 3, September 1980, pp. 183-196)
|
| 1066 |
+
|
| 1067 |
+
.I 91
|
| 1068 |
+
.T
|
| 1069 |
+
Cocited Author Retrieval Online:
|
| 1070 |
+
An Experiment with the Social Indicators Literature
|
| 1071 |
+
.A
|
| 1072 |
+
White, H.D.
|
| 1073 |
+
.W
|
| 1074 |
+
One mode of online retrieval in Scisearch or Social Scisearch involves
|
| 1075 |
+
entering pairs of authors' names believed to be jointly cited by
|
| 1076 |
+
subsequent writers and retrieving papers in which cocitations occur. Six
|
| 1077 |
+
pairs were formed with the names of four authors prominent in the social
|
| 1078 |
+
indicators movement (Bauer, Duncan, Land, and Sheldon). Documents by the
|
| 1079 |
+
four were not specified. It was thought that the pair Duncan and Land
|
| 1080 |
+
would retrieve papers in which indicator-type data would be integrated with
|
| 1081 |
+
path-analytic causal modeling. All other pairs seemed likely to retrieve a
|
| 1082 |
+
"general social indicators" literature. The 298 retrieved papers confirmed
|
| 1083 |
+
expectattions. It was found that 121 papers generally cited social indicators
|
| 1084 |
+
(SI) documents by the input authors and frequently had SI language in
|
| 1085 |
+
their titles. Other signs of content also identified them as papers of
|
| 1086 |
+
the SI movement. The 177 papers retrieved on Duncan and Land generally
|
| 1087 |
+
cited causal modeling documents by the input pair and were path-analytic
|
| 1088 |
+
in nature. As expected, they were relatively "harder" than the first
|
| 1089 |
+
group of papers, although the two groups are akin and are formally linked
|
| 1090 |
+
through citations in certain papers. An additional result is that papers
|
| 1091 |
+
citing at least three of the input authors tend to be overviews of the SI
|
| 1092 |
+
movement.
|
| 1093 |
+
.B
|
| 1094 |
+
(JASIS, Vol. 32, No. 1, January 1981, pp. 16-21)
|
| 1095 |
+
|
| 1096 |
+
.I 92
|
| 1097 |
+
.T
|
| 1098 |
+
Database and Online Statistics for 1979
|
| 1099 |
+
.A
|
| 1100 |
+
Williams M.E.
|
| 1101 |
+
.W
|
| 1102 |
+
The number of databases, records contained in databases and the online
|
| 1103 |
+
use of databases has increased dramatically over the past several years,
|
| 1104 |
+
bringing the 1979 totals for bibliographic, bioliographic-related, and
|
| 1105 |
+
natural language databases to 528. These 528 databases contain 148 million
|
| 1106 |
+
records. Some 4 million online searches were conducted via the major U.S.
|
| 1107 |
+
and Canadian systems in 1979.
|
| 1108 |
+
.B
|
| 1109 |
+
(Bulletin of ASIS, Vol. 7, No. 2, December 1980, pp. 27-29)
|
| 1110 |
+
|
| 1111 |
+
.I 93
|
| 1112 |
+
.T
|
| 1113 |
+
Experiments in Local Metrical Feedback in Full-Text Retrieval Systems
|
| 1114 |
+
.A
|
| 1115 |
+
Attar, R.
|
| 1116 |
+
Fraenkel, A.S.
|
| 1117 |
+
.W
|
| 1118 |
+
A method of iterative searching, using the results of one iteration search
|
| 1119 |
+
to formulate the next iteration search, was applied to a full-text database
|
| 1120 |
+
consisting of some 2400 documents and 1,3000,000 text-words of Hebrew and
|
| 1121 |
+
Aramaic. The iterative method consists of clustering the documents returned
|
| 1122 |
+
in an iteration, using weighting by proximity and by frequency simultaneously.
|
| 1123 |
+
The process produces searchonyms, which are terms synonymous to keywords in the
|
| 1124 |
+
context of a single query. Augumenting or replacing keywords by searchonyms
|
| 1125 |
+
via manual or automatic feedback leads to the formulation of the next iteration
|
| 1126 |
+
search. The results of the experiment are consistent with those of an earlier
|
| 1127 |
+
small-scale experiment on an English database, and indicate that in contrast
|
| 1128 |
+
to global clustering where the size of matrices limits applications to small
|
| 1129 |
+
databases and improvements are doubtful, local metrical methods appear to be
|
| 1130 |
+
well suited to arbitrarily large databases, improving precision and recall
|
| 1131 |
+
simultaneously. Further experiments using more test-queries run on even
|
| 1132 |
+
larger databases should be made to collect further evidence as to the
|
| 1133 |
+
performance of these methods.
|
| 1134 |
+
.B
|
| 1135 |
+
(Information Processing & Management, Vol. 17, No. 3, 1981, pp. 115-126)
|
| 1136 |
+
|
| 1137 |
+
.I 94
|
| 1138 |
+
.T
|
| 1139 |
+
A Microcomputer Alternative for Information Handling: Refles
|
| 1140 |
+
.A
|
| 1141 |
+
Bivins, K.T.
|
| 1142 |
+
Palmer, R.C.
|
| 1143 |
+
.W
|
| 1144 |
+
REFLES is a microcomputer-based system for data retrieval in library
|
| 1145 |
+
environments. The problem of information retrieval is discussed from a
|
| 1146 |
+
theoretical point of view, followed by an analysis of the reference process
|
| 1147 |
+
and data thereby gathered, leading to a description of REFLES in terms of
|
| 1148 |
+
its hardware and software. REFLES, a prototype system at present, currently
|
| 1149 |
+
functions in a test environment. Examples of data contained in the system
|
| 1150 |
+
and of its use are presented. Future considerations and speculations on
|
| 1151 |
+
other versions of the system conclude the paper.
|
| 1152 |
+
.B
|
| 1153 |
+
(Information Processing & Management, Vol. 17, No. 2, 1981, pp. 93-101)
|
| 1154 |
+
|
| 1155 |
+
.I 95
|
| 1156 |
+
.T
|
| 1157 |
+
A Comparison of Two Systems of Weighted Boolean Retrieval
|
| 1158 |
+
.A
|
| 1159 |
+
Bookstein, A.
|
| 1160 |
+
.W
|
| 1161 |
+
A major deficiency of traditional Boolean systems is their inability to
|
| 1162 |
+
represent the varying degrees to which a document may be written on a subject.
|
| 1163 |
+
In this article we isolate a number of criteria that should be met by any
|
| 1164 |
+
Boolean system generalized to have a weighting capability. It is proven that
|
| 1165 |
+
only one weighting rule satisfies these conditions--that associated with fuzzy-
|
| 1166 |
+
set theory--and that this weighting scheme satisfies most of the other
|
| 1167 |
+
properties associated with Boolean algebra as well. Probabilistic weighting
|
| 1168 |
+
is then introduced as an alternative approach and the two systems compared.
|
| 1169 |
+
In the limit of zero/one weights, all systems considered converge to
|
| 1170 |
+
traditional Boolean retrieval.
|
| 1171 |
+
.B
|
| 1172 |
+
(JASIS, Vol. 32, No. 4, July 1981)
|
| 1173 |
+
|
| 1174 |
+
.I 96
|
| 1175 |
+
.T
|
| 1176 |
+
Threshold Values and Boolean Retrieval Systems
|
| 1177 |
+
.A
|
| 1178 |
+
Buell, D.A.
|
| 1179 |
+
Kraft, D.H.
|
| 1180 |
+
.W
|
| 1181 |
+
Several papers have appeared that have analyzed recent developments
|
| 1182 |
+
in the problem of processing, in a document retrieval system, queries expressed
|
| 1183 |
+
as Boolean expressions. The purpose of this paper is to continue that analysis.
|
| 1184 |
+
We shall show that the concept of threshold values resolves the problems
|
| 1185 |
+
inherent with relevance weights. Moreover, we shall explore possible evaluation
|
| 1186 |
+
mechanisms for retrieval of documents, based on fuzzy-set-theoretic
|
| 1187 |
+
considerations.
|
| 1188 |
+
.B
|
| 1189 |
+
(Information Processing & Management, Vol. 17, No. 3, 1981, pp. 127-136)
|
| 1190 |
+
|
| 1191 |
+
.I 97
|
| 1192 |
+
.T
|
| 1193 |
+
A Model for a Weighted Retrieval System
|
| 1194 |
+
.A
|
| 1195 |
+
Buell, D.A.
|
| 1196 |
+
Kraft, D.H.
|
| 1197 |
+
.W
|
| 1198 |
+
There has been a good deal of work on information retrieval systems that
|
| 1199 |
+
have continuous weights assigned to the index terms that describe the records
|
| 1200 |
+
in the database, and/or to the query terms that describe the user queries.
|
| 1201 |
+
Recent articles have analyzed retrieval systems with continuous weights of
|
| 1202 |
+
either type and/or with a Boolean structure for the queries. They have also
|
| 1203 |
+
suggested criteria which such systems ought to satisfy and record evaluation
|
| 1204 |
+
mechanisms which partially satisfy these criteria. We offer a more careful
|
| 1205 |
+
analysis, based on a generalization of the discrete weights. We also look
|
| 1206 |
+
at the weights from an entirely different approach involving thresholds, and
|
| 1207 |
+
we generate an improved evaluation mechanism which seems to fulfill a larger
|
| 1208 |
+
subset of the desired criteria than previous mechanisms. This new mechanism
|
| 1209 |
+
allows the user to attach a "threshold" to the query term.
|
| 1210 |
+
.B
|
| 1211 |
+
(JASIS, Vol. 32, No. 3, May 1981, pp. 211-216)
|
| 1212 |
+
|
| 1213 |
+
.I 98
|
| 1214 |
+
.T
|
| 1215 |
+
A Translating Computer Interface for End-User Operation of Heterogeneous
|
| 1216 |
+
Retrieval Systems. I. Design
|
| 1217 |
+
.A
|
| 1218 |
+
Marcus, R.S.
|
| 1219 |
+
Reintjes, J.F.
|
| 1220 |
+
.W
|
| 1221 |
+
Online retrieval systems may be difficult to use, especially by end
|
| 1222 |
+
users, because of heterogeneity and complexity. Investigations have concerned
|
| 1223 |
+
the concept of a translating computer interface as a means to simplify access
|
| 1224 |
+
to, and operation of, heterogeneous bibliographic retrieval systems and
|
| 1225 |
+
databases. The interface allows users to make requests in a common language.
|
| 1226 |
+
These requests are translated by the interface into the appropriate commands
|
| 1227 |
+
for whatever system is being interrogated. System responses may also be
|
| 1228 |
+
transformed by the interface into a common form before being given to the
|
| 1229 |
+
users. Thus, the network of different systems is made to look like a single
|
| 1230 |
+
"virtual" system to the user. The interface also provides instruction and
|
| 1231 |
+
other search aids for the user. The philosophy, design, and implementation
|
| 1232 |
+
of an experimental interface named CONIT are described.
|
| 1233 |
+
.B
|
| 1234 |
+
(JASIS, Vol. 32, No. 4, July 1981, pp. 287-303)
|
| 1235 |
+
|
| 1236 |
+
.I 99
|
| 1237 |
+
.T
|
| 1238 |
+
A Translating Computer Interface for End-User Operation of
|
| 1239 |
+
Heterogeneous Retrieval Systems. II. Evaluations
|
| 1240 |
+
.A
|
| 1241 |
+
Marcus, R.S.
|
| 1242 |
+
Reintjes, J.F.
|
| 1243 |
+
.W
|
| 1244 |
+
The evaluation of the concept of a translating compuyter interface for
|
| 1245 |
+
simplifying operation of multiple, heterogenous online bibliographic
|
| 1246 |
+
retrieval systems has been undertaken. An experimental retrieval system,
|
| 1247 |
+
named CONIT, was built and tested under controlled conditions with
|
| 1248 |
+
inexperienced end users. A detailed analysis of the experimental usages
|
| 1249 |
+
showed that users were able to master interface operation sufficiently well
|
| 1250 |
+
to find relevant document references. Success was attributed, in part,
|
| 1251 |
+
to a simple command language, adequate online instruction, and a simplified
|
| 1252 |
+
natural-language, keyword/stem approach to searching. It is concluded that
|
| 1253 |
+
operational interfaces of the type studied can provide for increased usability
|
| 1254 |
+
of existing system in a cost effective manner, especially for searchers.
|
| 1255 |
+
Furthermore, more advanced interfaces based on improved instruction and
|
| 1256 |
+
automated search strategy techniques could further enhance retrieval
|
| 1257 |
+
effectiveness for a wide class of users.
|
| 1258 |
+
.B
|
| 1259 |
+
(JASIS, Vol. 32, No. 4, July 1981, pp. 304-317)
|
| 1260 |
+
|
| 1261 |
+
.I 100
|
| 1262 |
+
.T
|
| 1263 |
+
The Interface Between Computerized Retrieval Systems and Micrographic
|
| 1264 |
+
Retrieval Systems
|
| 1265 |
+
.A
|
| 1266 |
+
McMurdo, G.
|
| 1267 |
+
.W
|
| 1268 |
+
This paper notes the benefits accruing from interaction between computerized
|
| 1269 |
+
retrieval systems and micrographic retrieval systems. It reviews current state
|
| 1270 |
+
of automated micrographic retrieval technology. The conclusion is that with a
|
| 1271 |
+
combination of advances in communications technology, and sophisticated indexing
|
| 1272 |
+
input from libraries and information scientists, the new generation of automated
|
| 1273 |
+
micrographs devices may constitute the on-line document retrieval systems of the
|
| 1274 |
+
future.
|
| 1275 |
+
.B
|
| 1276 |
+
(Journal of Information Science I, 1980, pp. 345-349)
|
| 1277 |
+
|
| 1278 |
+
.I 101
|
| 1279 |
+
.T
|
| 1280 |
+
Parallel Computations in Information Retrieval
|
| 1281 |
+
.A
|
| 1282 |
+
Salton, G.
|
| 1283 |
+
Bergmark, D.
|
| 1284 |
+
.W
|
| 1285 |
+
Conventional information retrieval processes are largely based on data
|
| 1286 |
+
movement, pointer manipulations and integer arithmetic; more refined retrieval
|
| 1287 |
+
algorithms may in addition benefit from substantial computational power.
|
| 1288 |
+
|
| 1289 |
+
In the present study a number of parallel processing methods are described
|
| 1290 |
+
that serve to enhance retrieval services. In conventional retrieval
|
| 1291 |
+
environments parallel list processing and parallel search facilities are of
|
| 1292 |
+
greatest interest. In more advanced systems, the use of array processors
|
| 1293 |
+
also proves beneficial. Various information retrieval processes are examined
|
| 1294 |
+
and evidence is given to demonstrate the usefulness of parallel processing
|
| 1295 |
+
and fast computational facilities in information retrieval.
|
| 1296 |
+
.B
|
| 1297 |
+
(In Lecture Notes in Computer Science, No. III, W. Handler, Ed., Springer
|
| 1298 |
+
Verlag, Berlin-New York, 1981, pp. 328-342)
|
| 1299 |
+
|
| 1300 |
+
.I 102
|
| 1301 |
+
.T
|
| 1302 |
+
The Measurement of Term Importance in Automatic Indexing
|
| 1303 |
+
.A
|
| 1304 |
+
Salton, G.
|
| 1305 |
+
Wu, H.
|
| 1306 |
+
Yu, C.T.
|
| 1307 |
+
.W
|
| 1308 |
+
The frequency characteristics of terms in the documents of a collection
|
| 1309 |
+
have been used as indicators of term importance for content analysis and
|
| 1310 |
+
indexing purposes. In particular, very rare or very frequent terms are
|
| 1311 |
+
normally believed to be less effective than medium-frequency terms. Recently
|
| 1312 |
+
automatic indexing theories have been devised that use not only the term
|
| 1313 |
+
frequency characteristics but also the relevance properties of the terms.
|
| 1314 |
+
The major term-weighting theories are first briefly reviewed. The term
|
| 1315 |
+
precision and term utility weights that are based on the occurrence
|
| 1316 |
+
characteristics of the terms in the relevant, as opposed to the nonrelevant,
|
| 1317 |
+
documents of a collection are then introduced. Methods are suggested for
|
| 1318 |
+
estimating the relevance properties of the terms based on their overall
|
| 1319 |
+
occurrence characteristics in the collection. Finally, experimental
|
| 1320 |
+
evaluation results are shown comparing the weighting systems using the term
|
| 1321 |
+
relevance properties with the more conventional frequency-based methodologies.
|
| 1322 |
+
.B
|
| 1323 |
+
(JASIS, Vol. 32, No. 3, May 1981, pp. 175-186)
|
| 1324 |
+
|
| 1325 |
+
.I 103
|
| 1326 |
+
.T
|
| 1327 |
+
NDX-100: An Electronic Filing Machine for the Office of the Future
|
| 1328 |
+
.A
|
| 1329 |
+
Slonim, J.
|
| 1330 |
+
MacRae, L.J.
|
| 1331 |
+
Mennie, W.E.
|
| 1332 |
+
Diamond, N.
|
| 1333 |
+
.W
|
| 1334 |
+
This paper describes the design and implementation of an "electronic filing
|
| 1335 |
+
machine," a machine which is capable of storing large numbers of "unstructured"
|
| 1336 |
+
documents in such a way a particular document may be easily and quickly
|
| 1337 |
+
retrieved. A functional distributed architecture permits the implementation
|
| 1338 |
+
of the system in a mixture of hardware and software.
|
| 1339 |
+
.B
|
| 1340 |
+
(Computer, Vol. 14, No. 5, May 1981, pp. 24-36)
|
| 1341 |
+
|
| 1342 |
+
.I 104
|
| 1343 |
+
.T
|
| 1344 |
+
The Selection of Good Search Terms
|
| 1345 |
+
.A
|
| 1346 |
+
van Rijsbergen, C.J.
|
| 1347 |
+
Harper, D.J.
|
| 1348 |
+
Porter, M.F.
|
| 1349 |
+
.W
|
| 1350 |
+
This paper tackles the problem of how one might select further search terms,
|
| 1351 |
+
using relevance feedback, given the search terms in the query. These search
|
| 1352 |
+
terms are extracted from a maximum spanning tree connecting all the terms in the
|
| 1353 |
+
index term vocabulary. A number of different spanning trees are generated from
|
| 1354 |
+
a variety of association measures. The retrieval effectiveness for the
|
| 1355 |
+
different spanning trees is shown to be approximately the same. Effectiveness
|
| 1356 |
+
is measured in terms of precision and recall, and the retrieval tests are done
|
| 1357 |
+
on three different test collections.
|
| 1358 |
+
.B
|
| 1359 |
+
(Information Processing & Management, Vol. 17, No. 2, 1981, pp. 77-91)
|
| 1360 |
+
|
| 1361 |
+
.I 105
|
| 1362 |
+
.T
|
| 1363 |
+
Indexing Consistency, Quality and Efficiency
|
| 1364 |
+
.A
|
| 1365 |
+
Rolling, L.
|
| 1366 |
+
.W
|
| 1367 |
+
Indexing quality determines whether the information content of an indexed
|
| 1368 |
+
document is accurately represented. Indexing effectiveness measures whether
|
| 1369 |
+
an indexed document is correctly retrieved every time it is relevant to a
|
| 1370 |
+
query. Measurement of these criteria is cumbersome and costly; data base
|
| 1371 |
+
producers therefore prefer inter-indexer consistency as a measure of indexing
|
| 1372 |
+
quality or effectiveness. The present article assesses the validity of this
|
| 1373 |
+
substitution in various environments.
|
| 1374 |
+
.B
|
| 1375 |
+
(Information Processing & Management, Vol. 17, No. 2, 1981, pp. 69-76)
|
| 1376 |
+
|
| 1377 |
+
.I 106
|
| 1378 |
+
.T
|
| 1379 |
+
Text Passage Retrieval Based on Colon Classification: Retrieval Performance
|
| 1380 |
+
.A
|
| 1381 |
+
Shepherd, M.A.
|
| 1382 |
+
.W
|
| 1383 |
+
A set of experiments was conducted to determine the suitability of the
|
| 1384 |
+
Colon Classification as a foundation for the automated analysis, representation
|
| 1385 |
+
and retrieval of primary information from the full text of documents. Primary
|
| 1386 |
+
information is that information embodied in the text of a document, as opposed
|
| 1387 |
+
to secondary information which is generally in such forms as: an abstract, a
|
| 1388 |
+
table of contents, or an index.
|
| 1389 |
+
Full text databases were created in two subject areas and queries solicited
|
| 1390 |
+
from specialists in each area. An automated full text indexing system, along
|
| 1391 |
+
with four automated passage retrieval systems, was created to test the various
|
| 1392 |
+
features of the Colon Classification. Two Boolean-based systems and one simple
|
| 1393 |
+
word occurrence system were created in order to compare the retrieval results
|
| 1394 |
+
against types of systems which are in more common use. The systems' retrieval
|
| 1395 |
+
performances were measured using recall and precision and the mean expected
|
| 1396 |
+
search length reduction factors.
|
| 1397 |
+
Overall, it was found that the Colon Classification-based systems did not
|
| 1398 |
+
perform significantly better than the other systems.
|
| 1399 |
+
.B
|
| 1400 |
+
(Journal of Documentation, Vol. 37, No. I, March 1981, pp. 25-35)
|
| 1401 |
+
|
| 1402 |
+
.I 107
|
| 1403 |
+
.T
|
| 1404 |
+
User-Responsive Subject Control in Bibliographic Retrieval Systems
|
| 1405 |
+
.A
|
| 1406 |
+
Tague, J.M.
|
| 1407 |
+
.W
|
| 1408 |
+
A study was carried out of the relationship between the vocabulary of
|
| 1409 |
+
user queries and the vocabulary of documents relevant to the queries, and
|
| 1410 |
+
the value of adding to the document description record in a retrieval system
|
| 1411 |
+
keywords from previous queries for which the document had proved useful.
|
| 1412 |
+
Two test databases incorporating user query keywords were implemented at
|
| 1413 |
+
the School of Library and Information Science, University of Western
|
| 1414 |
+
Ontario. Clustering of the documents via title and user keywords, a
|
| 1415 |
+
statistical analysis of title-user keyword co-occurrences, and retrieval
|
| 1416 |
+
tests were used to examine the effect of the added keywords. Results
|
| 1417 |
+
showed the impracticality of the procedure in an operational setting, but
|
| 1418 |
+
indicated the value of analyses with sample data in the development and
|
| 1419 |
+
maintenance of keyword dictionaries and thesauri.
|
| 1420 |
+
.B
|
| 1421 |
+
(Information Processing & Management, Vol. 17, No. 3, 1981, pp. 149-159)
|
| 1422 |
+
|
| 1423 |
+
.I 108
|
| 1424 |
+
.T
|
| 1425 |
+
A Program for Machine-Mediated Searching
|
| 1426 |
+
.A
|
| 1427 |
+
Toliver, D.
|
| 1428 |
+
.W
|
| 1429 |
+
A technique of online instruction and assistance to bibliographic data
|
| 1430 |
+
base searchers called Individualized Instruction for Data Access (IIDA) is
|
| 1431 |
+
being developed by Drexel University. IIDA assists searchers by providing
|
| 1432 |
+
feedback based on real-time analysis while searches are being performed.
|
| 1433 |
+
Extensive help facilities which draw on this analysis are available to
|
| 1434 |
+
users. Much of the project's experimental work, as described elsewhere,
|
| 1435 |
+
is concerned with the process of searching and the behavior of searchers.
|
| 1436 |
+
This paper will largely address itself to the project's computer system, which
|
| 1437 |
+
is being developed by subcontract with the Franklin Institute's Science
|
| 1438 |
+
Information Services.
|
| 1439 |
+
.B
|
| 1440 |
+
(Information Processing & Management, Vol. 17, No. 2, 1981, pp. 61-68)
|
| 1441 |
+
|
| 1442 |
+
.I 109
|
| 1443 |
+
.T
|
| 1444 |
+
Author Cocitation: A Literature Measure of Intellectual Structure
|
| 1445 |
+
.A
|
| 1446 |
+
White, H.D.
|
| 1447 |
+
Griffith, B.C.
|
| 1448 |
+
.W
|
| 1449 |
+
It is shown that the mapping of a particular area of science, in this
|
| 1450 |
+
case information science, can be done using authors as units of analysis and
|
| 1451 |
+
the cocitations of pairs of authors as the variable that indicates their
|
| 1452 |
+
"distances" from each other. The analysis assumes that the more two authors
|
| 1453 |
+
are cited together, the closer the relationship between them. The raw data
|
| 1454 |
+
are cocitation counts drawn online from Social Scisearch (Social Sciences
|
| 1455 |
+
Citation Index) over the period 1972-1979. GThe resulting map shows
|
| 1456 |
+
(1) identifiable author groups (akin to "schools") of information science,
|
| 1457 |
+
(2) locations of these groups with respect to each other, (3) the degree of
|
| 1458 |
+
centrality and peripherality of authors within groups, (4) proximities of
|
| 1459 |
+
authors within group and across group boundaries ("border authors" who seem
|
| 1460 |
+
to connect various areas of research), and (5) positions of authors with
|
| 1461 |
+
respect to the map's axes, which were arbitrarily set spanning the most
|
| 1462 |
+
divergent groups in order to aid interpretation. Cocitation analysis of
|
| 1463 |
+
authors offers a new technique that might contribute to the understanding of
|
| 1464 |
+
intellectual structure in the sciences and possibly in other areas to the
|
| 1465 |
+
extent that those areas rely on serial publications. The technique
|
| 1466 |
+
establishes authors, as well as documents, as an effective unit in
|
| 1467 |
+
analyzing subject specialties.
|
| 1468 |
+
.B
|
| 1469 |
+
(JASIS, Vol. 32, No. 3, May 1981, pp. 163-171)
|
| 1470 |
+
|
| 1471 |
+
.I 110
|
| 1472 |
+
.T
|
| 1473 |
+
Progress in Documentation. Word Processing:
|
| 1474 |
+
An Introduction and Appraisal
|
| 1475 |
+
.A
|
| 1476 |
+
Whitehead, J.
|
| 1477 |
+
.W
|
| 1478 |
+
The "Office of the Future," "Office Technology," "Word Processing,"
|
| 1479 |
+
"Electronic Mail," "Electronic Communications," "Convergence," "Information
|
| 1480 |
+
Management." These are all terms included in the current list of buzz words
|
| 1481 |
+
used to describe current activities in the office technology area. The high
|
| 1482 |
+
level of investment in factories and plants and the ever-increasing fight to
|
| 1483 |
+
improve productivity by automating the dull, routine jobs are usually quoted
|
| 1484 |
+
and compared with the extremely low investment in improving and automating
|
| 1485 |
+
the equally tedious routine jobs in the office environment; the investment
|
| 1486 |
+
in the factory is quoted as being ten times greater per employee than in the
|
| 1487 |
+
office. This, however, is changing rapidly and investment on a large scale
|
| 1488 |
+
is already taking place in manhy areas as present-day inflation bites hard,
|
| 1489 |
+
forcing many companies and organizations to take a much closer look at their
|
| 1490 |
+
office operations.
|
| 1491 |
+
.B
|
| 1492 |
+
(Journal of Documentation, Vol. 36, No. 4, December 1980, pp. 313-341)
|
| 1493 |
+
|
| 1494 |
+
.I 111
|
| 1495 |
+
.T
|
| 1496 |
+
Document Clustering Using an Inverted File Approach
|
| 1497 |
+
.A
|
| 1498 |
+
Willett, P.
|
| 1499 |
+
.W
|
| 1500 |
+
An automated document clustering procedure is described which does not
|
| 1501 |
+
require the use of an inter-document similarity matrix and which is independent
|
| 1502 |
+
of the order in which the documents are processed. The procedure makes use of
|
| 1503 |
+
an initial set of clusters which is derived from certain of the terms in the
|
| 1504 |
+
indexing vocabulary used to characterise the documents in the file. The
|
| 1505 |
+
retrieval effectiveness obtained using the clustered file is compared with that
|
| 1506 |
+
obtained from serial searching and from use of the single-linkage clustering
|
| 1507 |
+
method.
|
| 1508 |
+
.B
|
| 1509 |
+
(Journal of Information Science, 2, 1980, pp. 222-231)
|
| 1510 |
+
|
| 1511 |
+
.I 112
|
| 1512 |
+
.T
|
| 1513 |
+
A Fast Procedure for the Calculation of Similarity Coefficients in
|
| 1514 |
+
in Automatic Classification
|
| 1515 |
+
.A
|
| 1516 |
+
Willett, P.
|
| 1517 |
+
.W
|
| 1518 |
+
A fast algorithm is described for comparing the lists of terms representing
|
| 1519 |
+
documents in automatic classification experiments. The speed of the procedure
|
| 1520 |
+
arises from the fact that all of the non-zero-valued coefficicents for a given
|
| 1521 |
+
document are identified together, using an inverted file to the terms in the
|
| 1522 |
+
document collection. The complexity and running time of the algorithm are
|
| 1523 |
+
compared with previously described procedures.
|
| 1524 |
+
.B
|
| 1525 |
+
(Information Processing & Management, Vol. 17, No. 2, 1981, pp. 53-60)
|
content/CISI.REL
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requirements.txt
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