Semantic web mining and the representation, analysis, and evolution of web space

dc.date.accessioned2009-04-08T13:03:31Z
dc.date.available2009-04-08T13:03:31Z
dc.date.issued2005
dc.description.everythingAuch erschienen in: 1. International Workshop on Representation and Analysis of Web Space : proceedings. Ostrava : Techn. Univ. of Ostrava, 2005. S. 1-16. ISBN 80-2480864-1ger
dc.format.extent187482 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.uriurn:nbn:de:hebis:34-2009040826841
dc.identifier.urihttp://hdl.handle.net/123456789/2009040826841
dc.language.isoeng
dc.rightsUrheberrechtlich geschützt
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subject.ddc004
dc.subject.swdSemantic Webger
dc.subject.swdData Miningger
dc.titleSemantic web mining and the representation, analysis, and evolution of web spaceeng
dc.typePreprint
dcterms.abstractSemantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: Growing numbers of researchers work on improving the results of Web Mining by exploiting semantic structures in the Web, and they use Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The second aim of this paper is to use these concepts to circumscribe what Web space is, what it represents and how it can be represented and analyzed. This is used to sketch the role that Semantic Web Mining and the software agents and human agents involved in it can play in the evolution of Web space.eng
dcterms.accessRightsopen access
dcterms.creatorBerendt, Bettina
dcterms.creatorHotho, Andreas
dcterms.creatorStumme, Gerd

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