Semantic Similarity Measures for Information Retrieval Systems Using Ontology

Abstract

This work focuses on devising computational models for assessing similarity among words/concepts in the knowledge sources like ontologies. Semantic similarity assessment plays an important role in the fields of Psychology, Information Retrieval and Information Integration systems. The paradigm shift of syntactic web to semantic web has emphasized the use of development of semantic similarity measures to computationally identify related concepts within and among ontologies