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A Review on Feature based Approach in Semantic Similarity for Multiple Ontology

Nurul Aswa Omar (), Shahreen Kasim (), Mohd. Farhan Md. Fuzzee (), Azizul Azhar Ramli (), Hairulnizam Mahdin () and Seah Choon Sen ()
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Nurul Aswa Omar: Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja, 86400 Batu Pahat,Johor, Malaysia
Shahreen Kasim: Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja, 86400 Batu Pahat,Johor, Malaysia
Mohd. Farhan Md. Fuzzee: Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja, 86400 Batu Pahat, Johor, Malaysia
Azizul Azhar Ramli: Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja, 86400 Batu Pahat,Johor, Malaysia
Hairulnizam Mahdin: Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja, 86400 Batu Pahat, Johor, Malaysia
Seah Choon Sen: Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja, 86400 Batu Pahat,Johor, Malaysia

Acta Informatica Malaysia (AIM), 2017, vol. 1, issue 1, 7-9

Abstract: 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.

Keywords: Semantic similarity; features based; ontology; multiple ontology; cross ontology; heterogeneous sources. (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnaim:v:1:y:2017:i:1:p:7-9

DOI: 10.26480/aim.01.2017.07.09

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Acta Informatica Malaysia (AIM) is currently edited by Associate Professor Dr. Shahreen Kasim

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