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9

EKAW
2004
Springer

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Knowledge Modelling for Deductive Web Mining

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Knowledge Modelling for Deductive Web Mining

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Abstract. Knowledge-intensive methods that can altogether be characterised as deductive web mining (DWM) already act as supporting technology for building the semantic web. Reusable knowledge-level descriptions may further ease the deployment of DWM tools. We developed a multi-dimensional, ontology-based framework, and a collection of problem-solving methods, which enable to characterise DWM applications at an abstract level. We show that the heterogeneity and unboundedness of the web demands for some modiﬁcations of the problem-solving method paradigm used in the context of traditional artiﬁcial intelligence.

Vojtech Svátek, Martin Labský, Miros

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Deductive Web Mining | DWM Tools | EKAW 2004 | Information Retrieval | Problem-solving Method |

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Added	01 Jul 2010
Updated	01 Jul 2010
Type	Conference
Year	2004
Where	EKAW
Authors	Vojtech Svátek, Martin Labský, Miroslav Vacura

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