A review of semantic similarity approach for multiple ontologies

Omar, Nurul Aswa and Kasim, Shahreen and Md Fudzee, Mohd Farhan (2018) A review of semantic similarity approach for multiple ontologies. Int. J. Information and Decision Sciences, 10 (3). pp. 212-221. ISSN 1756-7017

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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

Item Type:	Article
Uncontrolled Keywords:	semantic similarity; feature-based; ontology; multiple ontology; cross ontology; heterogeneous sources.
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User:	UiTM Student Praktikal
Date Deposited:	13 Jan 2022 08:04
Last Modified:	13 Jan 2022 08:04
URI:	http://eprints.uthm.edu.my/id/eprint/5549

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