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OWL-Based Semantic Conflicts Detection and Resolution for Data Interoperability

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Conceptual Modeling for Advanced Application Domains (ER 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3289))

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Abstract

Ontology provides sharing knowledge among different data sources which will help to clarify the semantics of information. OWL is being promoted as a standard for web ontology language, thus in the future a considerable number of ontologies will be created based on OWL. Therefore automatically detecting semantic conflicts based on OWL will greatly expedite the step to achieve semantic interoperability, and will greatly reduce the manual work to detect semantic conflicts. In this paper, we summarize seven cases based on OWL in which semantic conflicts are easily to be encountered, and for each case, we give a rule to resolve the conflict. Via a series of examples, we show how this method works. Based on the seven cases, we propose a semantic conflicts detection and resolution algorithm. This aims at providing a semi-automatic method for semantic uniform data interoperability and integration.

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Author information

Authors and Affiliations

  1. Department of Computer Science, School of Computing, National University of Singapore,  

    Changqing Li & Tok Wang Ling

Authors
  1. Changqing Li
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  2. Tok Wang Ling
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Editor information

Editors and Affiliations

  1. Key Laboratory of Data Engineering and Knowledge Engineering, (Renmin University of China), MOE, 100872, Beijing, P.R. China

    Shan Wang

  2. University of Kyoto, Japan

    Katsumi Tanaka

  3. Department of Computer Science and Engineering, Fudan University, 200433, China

    Shuigeng Zhou

  4. School of Computing, National University of Singapore,  

    Tok-Wang Ling

  5. Department of Computer Science and Technology, Tongji University, 201804, China

    Jihong Guan

  6. Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education, China, School of Electronics Engineering and Computer Science, Peking University, China

    Dong-qing Yang

  7. Dipartimento di Elettronica, Informatica e Sistemistica, Alma Mater Studiorum – Università di Bologna, Italy

    Fabio Grandi

  8. School of Computer Science & Informatics, University College Dublinq, Belfield, Dublin 4, Ireland

    Eleni E. Mangina

  9. College of Information Science and Technology, Drexel University, USA

    Il-Yeol Song

  10. Institute for Applied Informatics, Alpen-Adria-Universität Klagenfurt, Austria

    Heinrich C. Mayr

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© 2004 Springer-Verlag Berlin Heidelberg

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Li, C., Ling, T.W. (2004). OWL-Based Semantic Conflicts Detection and Resolution for Data Interoperability. In: Wang, S., et al. Conceptual Modeling for Advanced Application Domains. ER 2004. Lecture Notes in Computer Science, vol 3289. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30466-1_25

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  • DOI: https://doi.org/10.1007/978-3-540-30466-1_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23722-8

  • Online ISBN: 978-3-540-30466-1

  • eBook Packages: Springer Book Archive

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