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Web Usage Mining for Ontology Management

Web Usage Mining for Ontology Management

Brigitte Trousse, Marie-Aude Aufaure, Bénédicte Le Grand, Yves Lechevallier, Florent Masseglia
Copyright: © 2009 |Pages: 30
ISBN13: 9781599049908|ISBN10: 1599049902|EISBN13: 9781599049915
DOI: 10.4018/978-1-59904-990-8.ch026
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MLA

Trousse, Brigitte, et al. "Web Usage Mining for Ontology Management." Handbook of Research on Text and Web Mining Technologies, edited by Min Song and Yi-Fang Brook Wu, IGI Global, 2009, pp. 418-447. https://doi.org/10.4018/978-1-59904-990-8.ch026

APA

Trousse, B., Aufaure, M., Le Grand, B., Lechevallier, Y., & Masseglia, F. (2009). Web Usage Mining for Ontology Management. In M. Song & Y. Brook Wu (Eds.), Handbook of Research on Text and Web Mining Technologies (pp. 418-447). IGI Global. https://doi.org/10.4018/978-1-59904-990-8.ch026

Chicago

Trousse, Brigitte, et al. "Web Usage Mining for Ontology Management." In Handbook of Research on Text and Web Mining Technologies, edited by Min Song and Yi-Fang Brook Wu, 418-447. Hershey, PA: IGI Global, 2009. https://doi.org/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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