Article,
CONCEPTUAL SIMILARITY MEASUREMENT ALGORITHM FOR DOMAIN SPECIFIC ONTOLOGY
International Journal of Information Technology, Modeling and Computing (IJITMC), 2 (2): 01-08 (May 2014)
DOI: 10.5121/ijitmc.2014.2204
Abstract
This paper presents the similarity measurement algorithm for domain specific terms collected in the ontology based data integration system. This similarity measurement algorithm can be used in ontology mapping and query service of ontology based data integration system. In this paper, we focus on the web query service to apply this proposed algorithm. Concepts similarity is important for web query service because the words in user input query are not same wholly with the concepts in ontology. So, we need to extract the possible concepts that are match or related to the input words with the help of machine readable dictionary WordNet. Sometimes, we use the generated mapping rules in query generation procedure for some words that cannot be confirmed the similarity of these words by WordNet. We prove the effect of this algorithm with two degree semantic result of web mining by generating the concepts results obtained form the input query
