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A review on feature based approach in semantic similarity for multiple ontology

Omar, Nurul Aswa and Kasim, Shahreen and Md Fudzee, Mohd Farhan and Ramli, Azizul Azhar and Mahdin, Hairulnizam and Seah, Choon Sen (2017) A review on feature based approach in semantic similarity for multiple ontology. Acta Informatica Malaysia (AIM), 1 (1). pp. 7-9. ISSN 25210505

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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.

Item Type: Article
Uncontrolled Keywords: Semantic similarity; features based; ontology; multiple ontology; cross ontology; heterogeneous sources
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 31 Mar 2019 07:37
Last Modified: 31 Mar 2019 07:37
URI: http://eprints.uthm.edu.my/id/eprint/10911
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