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Web Usage Mining for Ontology Management
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Author(s): Brigitte Trousse (INRIA Sophia Antipolois, France), Marie-Aude Aufaure (INRIA Sophia and Supélec, France), Bénédicte Le Grand (Laboratoire d’Informatique de Paris 6, France), Yves Lechevallier (INRIA Rocquencourt, France)and Florent Masseglia (INRIA Sophia Antipolois, France)
Copyright: 2009
Pages: 30
Source title:
Handbook of Research on Text and Web Mining Technologies
Source Author(s)/Editor(s): Min Song (New Jersey Institute of Technology, USA)and Yi-Fang Brook Wu (New Jersey Institute of Technology, USA)
DOI: 10.4018/978-1-59904-990-8.ch026
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Abstract
This chapter proposes an original approach for ontology management in the context of Web-based information systems. Our approach relies on the usage analysis of the chosen Web site, in addition to the existing approaches based onWeb pages content analysis. Our methodology is based on knowledge discovery techniques mainly from HTTP Web logs and aims to confronting the discovered knowledge in terms of usage with the existing ontology in order to propose new relations between concepts. We illustrate our approach on a Web site provided by local French tourism authorities (related to Metz city) with the use of clustering and sequential patterns discovery methods. One major contribution of this chapter is, thus, the application of usage analysis to support ontology evolution and/or Web site reorganization.
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