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A New Dynamic Neighbourhood-Based Semantic Dissimilarity Measure for Ontology

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  • Sathiya Balasubramanian

    (College of Engineering, Guindy, Anna University, Chennai, India)

  • Geetha T. V.

    (College of Engineering, Guindy, Anna University, Chennai, India)

Abstract

The semantic web is a global initiative which employs ontologies to offer rich, semantic-based knowledge representation. Concepts in these ontologies are explored to find (dis)similarities between them using (dis)similarity measures. Despite the existence of numerous (dis)similarity measures, none have dynamically determined the quantum of information required to discover (dis)similarities between concepts. In this article, a new, efficient, feature-based semantic dissimilarity measure is proposed where the prime novelty lies in the dynamic selection of the semantic neighourhood (features) of the concepts. The neighbourhood is dynamically selected in accordance with the local density of the concept and the density of the ontology determined by the proposed density coefficient. Further, the proposed measure also scales down the dissimilarity value in accordance with the depth of the concept pair, using the novel Depth Coefficient.

Suggested Citation

  • Sathiya Balasubramanian & Geetha T. V., 2019. "A New Dynamic Neighbourhood-Based Semantic Dissimilarity Measure for Ontology," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 15(3), pages 24-41, July.
    • Handle: RePEc:igg:jiit00:v:15:y:2019:i:3:p:24-41
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    Cited by:

    1. Juan Du & Hengqing Jing & Kim-Kwang Raymond Choo & Vijayan Sugumaran & Daniel Castro-Lacouture, 2020. "An Ontology and Multi-Agent Based Decision Support Framework for Prefabricated Component Supply Chain," Information Systems Frontiers, Springer, vol. 22(6), pages 1467-1485, December.
    2. Juan Du & Hengqing Jing & Kim-Kwang Raymond Choo & Vijayan Sugumaran & Daniel Castro-Lacouture, 0. "An Ontology and Multi-Agent Based Decision Support Framework for Prefabricated Component Supply Chain," Information Systems Frontiers, Springer, vol. 0, pages 1-19.

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