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Extended TvX: a new method feature based semantic similarity for multiple ontology

Omar, Nurul Aswa and Kasim, Shahreen and Md Fudzee, Mohd Farhan (2017) Extended TvX: a new method feature based semantic similarity for multiple ontology. Journal of Telecommunication, Electronic and Computer Engineering, 9 (2-3). pp. 39-43. ISSN 22898131

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Abstract

Semantic similarity between the terms is the main phase in information retrieval and information integration, which requires semantic content matching. Semantic similarity function is important in psychology, artificial intelligence and cognitive science. The problem of integrating various sources is the matching between ontological concepts. In this paper, we proposed to develop this method by analyzing the semantic similarity between the modeled taxonomical knowledge and features in different ontology. This paper contains a review on semantic similarity and multiple ontology that focuses on the feature-based approach. Besides that, we proposed a method, namely a semantic similarity that overcomes the limitation of different features of terms compared. As a result, we are able to develop a better method that improves the accuracy of the similarity measurement.

Item Type: Article
Uncontrolled Keywords: Semantic similarity; feature 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/10920
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