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Personal Information Modeling in Semantic Web

  • Conference paper
The Semantic Web – ASWC 2006 (ASWC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4185))

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Abstract

Web Ontology Language (OWL) is a semantic markup language for describing information on the Web so that machines can process and interpret Web content. OWL expresses information ontologies and has the capability to map all the information on the World Wide Web into a semantic, machine-understandable atlas of information. This article addresses personal information modeling in OWL through enhancing the OWL specification to include such information. It introduces a scheme for identifying personal information and presents an OWL-based design to model personal information without introducing modifications. Some restrictions on certain OWL constructs are necessary to integrate personal information in the language.

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Author information

Authors and Affiliations

  1. Computer Engineering Department, Kuwait University, P. O. Box 5969, Safat, 13050, Kuwait

    Sabah S. Al-Fedaghi & Majed Y. Ahmad

Authors
  1. Sabah S. Al-Fedaghi
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  2. Majed Y. Ahmad
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Editor information

Editors and Affiliations

  1. The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, 567-0047, Ibaraki, Osaka, Japan

    Riichiro Mizoguchi

  2. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, 100080, Beijing,  

    Zhongzhi Shi

  3. Information and Communication Technology, University of Trento, Italy

    Fausto Giunchiglia

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© 2006 Springer-Verlag Berlin Heidelberg

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Al-Fedaghi, S.S., Ahmad, M.Y. (2006). Personal Information Modeling in Semantic Web. In: Mizoguchi, R., Shi, Z., Giunchiglia, F. (eds) The Semantic Web – ASWC 2006. ASWC 2006. Lecture Notes in Computer Science, vol 4185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11836025_65

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  • DOI: https://doi.org/10.1007/11836025_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38329-1

  • Online ISBN: 978-3-540-38331-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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