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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Nurul Aswa Omar & Shahreen Kasim & Mohd. Farhan Md. Fuzzee & Azizul Azhar Ramli & Hairulnizam Mahdin & Seah Choon Sen, 2017. "A Review on Feature based Approach in Semantic Similarity for Multiple Ontology," Acta Informatica Malaysia (AIM), Zibeline International Publishing, vol. 1(1), pages 7-9, February.
    • Handle: RePEc:zib:zbnaim:v:1:y:2017:i:1:p:7-9
    DOI: 10.26480/aim.01.2017.07.09
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    References listed on IDEAS

    as
    1. Catia Pesquita & Daniel Faria & André O Falcão & Phillip Lord & Francisco M Couto, 2009. "Semantic Similarity in Biomedical Ontologies," PLOS Computational Biology, Public Library of Science, vol. 5(7), pages 1-12, July.
    2. Angelos Hliaoutakis & Giannis Varelas & Epimenidis Voutsakis & Euripides G.M. Petrakis & Evangelos Milios, 2006. "Information Retrieval by Semantic Similarity," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 2(3), pages 55-73, July.
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