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Book Sections Year : 2006

Metadata- and Ontology- Based Semantic Web Mining

Abstract

The increasing volume of data available on the Web makes information retrieval a tedious and difficult task. The vision of the Semantic Web introduces the next generation of the Web by establishing a layer of machine-understandable data e.g. for software agents, sophisticated search engines and Web services. The success of the Semantic Web crucially depends on the easy creation, integration and use of semantic data. This chapter is a state-of-the-art review of techniques which could make the Web more "semantic". Beyond this state-of-the-art, we describe open research areas and we present major current research programs in this domain.

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Web
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Dates and versions

hal-00261012 , version 1 (06-03-2008)

Identifiers

  • HAL Id : hal-00261012 , version 1

Cite

Marie-Aude Aufaure, Bénédicte Le Grand, Michel Soto, Nacéra Bennacer Seghouani. Metadata- and Ontology- Based Semantic Web Mining. Web Semantics and Ontology, Idea Group Publishing, pp.259-296, 2006. ⟨hal-00261012⟩
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