Title: A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering,
Abstract: One of the challenges in information retrieval is providing accurate answers
to a user's question often expressed as uncertainty words. Most answers are
based on a Syntactic approach rather than a Semantic analysis of the query. In
this paper, our objective is to present a hybrid approach for a Semantic
question answering retrieval system using Ontology Similarity and Fuzzy logic.
We use a Fuzzy Co-clustering algorithm to retrieve the collection of documents
based on Ontology Similarity. The Fuzzy Scale uses Fuzzy type-1 for documents
and Fuzzy type-2 for words to prioritize answers. The objective of this work is
to provide retrieval system with more accurate answers than non-fuzzy Semantic
Ontology approach.