Recognising Professional-Activity Groups and Web Usage Mining for Web Browsing Personalisation

Authors:
Yassine Mrabet;Khaled Khelif;Rose Dieng-Kuntz
Affiliations:
-;-;-
Venue:
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2007

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Abstract

Web usage mining can play an important role in supporting the navigation on the future Web. In fact detection of common or professional profiles allows browsers and web sites to personalise the user session and to recommend specific resources to the interested people. Semantic web approach seems interesting for this task. We propose in this paper a generic approach for profile detection relying on semantic web technologies. It takes advantages from ontologies, semantic annotations on web resources and inference engines.