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Canadian Semantic Web pp 103–120Cite as

A Rule-based Approach for Semantic Annotation Evolution in the CoSWEM System

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Part of the book series: Semantic Web and Beyond ((ADSW,volume 2))

Abstract

An approach for managing knowledge in an organisation in the new infrastructure of Semantic Web consists of building a Corporate Semantic Web (CSW). The main components of a CSW are (i) evolving resources distributed over an intranet and indexed using (ii) semantic annotations expressed with the vocabulary provided by (iii) shared ontology. However, changes in the operating environment may lead to some inconsistencies in the system and they result in need of modifications of the CSW components. These changes need to be evolved and well managed. In this paper we present a rule-based approach allowing to detect and correct semantic annotation inconsistencies. This rule-based approach is implemented in the CoSWEM system enabling to manage the evolution of such a CSW, especially to address the evolution of semantic annotations when its underlying ontologies change.

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Author information

Authors and Affiliations

  1. INRIA Sophia Antipolis, 2004 route des Lucioles, BP 93, 06902, Sophia Antipolis, France

    Phuc-Hiep Luong & Rose Dieng-Kuntz

Authors
  1. Phuc-Hiep Luong
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  2. Rose Dieng-Kuntz
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Editor information

Editors and Affiliations

  1. Faculty of Science & Engineering, Dept. of Computer Science, Université Laval, Pavillon Adrien-Pouliot, Québec, G1K 7P4, Canada

    Mamadou Tadiou Koné

  2. UER Sciences and Technologies Télé-Université, Université du Québec à Montréal, 100 Sherbrooke West, Montréal, QC, H2X 3P2, Canada

    Daniel Lemire

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Luong, PH., Dieng-Kuntz, R. (2006). A Rule-based Approach for Semantic Annotation Evolution in the CoSWEM System. In: Koné, M.T., Lemire, D. (eds) Canadian Semantic Web. Semantic Web and Beyond, vol 2. Springer, Boston, MA . https://doi.org/10.1007/978-0-387-34347-1_7

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  • DOI: https://doi.org/10.1007/978-0-387-34347-1_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-29815-3

  • Online ISBN: 978-0-387-34347-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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