2 research outputs found
A REVIEW ON FEATURE BASED APPROACH IN SEMANTIC SIMILARITY FOR MULTIPLE ONTOLOGY
Measuring semantic similarity between terms is an important step in information retrieval and information
integration which requires semantic content matching. Semantic similarity has attracted great concern for a long
time in artificial intelligence, psychology and cognitive science. This paper contains a review of the state of art
approaches including structure based approach, information content based approach, and feature based approach
and hybrid approach. We also discussed similarity according to their advantages, disadvantages and issues related
to multiple ontology especially on method in features based approach