A review of semantic similarity approach for multiple ontologies
by Nurul Aswa Omar; Shahreen Kasim; Mohd Farhan Md Fudzee
International Journal of Information and Decision Sciences (IJIDS), Vol. 10, No. 3, 2018

Abstract: Measuring semantic similarity between concepts 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. Many methods have been proposed. This paper contains a review on the state of art approaches including structure-based approach, information content-based approach, feature-based approach and hybrid-based approach. We also discussed the similarity according to their advantages, disadvantages and issues related to multiple ontologies. Besides that, we also concentrated on methods in feature-based approach which we will be using as a mechanism to measure the similarity for multiple ontologies.

Online publication date: Thu, 09-Aug-2018

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