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Towards semantic web mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2002) 2342 LNCS 264-278
DOI: 10.1007/3-540-48005-6_21
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Abstract

Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on the other hand, for building up the Semantic Web. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable. © Springer-Verlag Berlin Heidelberg 2002.

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Berendt, B., Hotho, A., & Stumme, G. (2002). Towards semantic web mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2342 LNCS, pp. 264–278). Springer Verlag. https://doi.org/10.1007/3-540-48005-6_21

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