AMV : Algorithm Metadata Vocabulary
  Metadata vocabularies are used in various domains of study. It provides an
in-depth description of the resources. In this work, we develop Algorithm
Metadata Vocabulary (AMV), a vocabulary for capturing and storing the metadata
about the algorithms (a procedure or a set of rules that is followed
step-by-step to solve a problem, especially by a computer). The snag faced by
the researchers in the current time is the failure of getting relevant results
when searching for algorithms in any search engine. AMV is represented as a
semantic model and produced OWL file, which can be directly used by anyone
interested to create and publish algorithm metadata as a knowledge graph, or to
provide metadata service through SPARQL endpoint. To design the vocabulary, we
propose a well-defined methodology, which considers real issues faced by the
algorithm users and the practitioners. The evaluation shows a promising result.
