Semantically intelligent semi-automated ontology integration

Q. Umer, D. Mundy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The problem of heterogeneity between ontologies may occur in the use of multiple ontologies of the same domain. The integration of ontologies provides a solution to the heterogeneity problem. In this study, we investigate the ontology integration problem and propose a layer based framework as a solution to the problem. The framework compares the concepts of reference ontologies based on their semantics along with their syntax in the concept matching process of ontology integration. The semantic relationship of a concept with other concepts between ontologies and the provision of user confirmation (only for the problematic cases) are also taken into account in this process. We cast the problem to find the effectiveness of proposed frameworks by providing a comparison of the proposed concept matching technique with the existing techniques. The result demonstrates the efficacy and success of the proposed framework.

Original languageEnglish
Title of host publicationLecture Notes in Engineering and Computer Science
EditorsA. M. Korsunsky, S. I. Ao, David WL Hukins, Len Gelman, Andrew Hunter
PublisherNewswood Limited
Pages1101-1106
Number of pages6
ISBN (Print)9789881925213
StatePublished - 2012
Externally publishedYes

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2198
ISSN (Print)2078-0958

Bibliographical note

Publisher Copyright:
© 2012 Newswood Limited. All rights reserved.

Keywords

  • Concept matching
  • Heterogeneity
  • Knowledge sharing
  • Ontology integration

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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