2009•Unpublished venueRequires access

Discovering semantic similarity association in semantic search system

Shahdad Shariatmadari, Ali Mamat, Hamidah Ibahim, Norwati Mustapha

Abstract

Discovering semantic similarity association among ontology instances is a challenging problem in semantic search systems. In a populated ontology there are numbers of different paths emanating from entities at instance level. Computing semantic similarity between these paths is an important issue in semantic analysis and semantic search applications.

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Available abstract

Key concepts: Semantic similarity, Computer science, Semantic search, Semantic computing, Information retrieval, Ontology, Semantic integration, Semantic grid