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Ontology Learning and Information Extraction for the Semantic Web

The work gives overview of its three main topics: semantic web, information extraction and ontology learning. A method for identification relevant information on web pages is described and experimentally tested on pages of companies offering products and services. The method is based on analysis of a sample web pages and their position in the Open Directory catalogue. Furthermore, a modfication of association rules mining algorithm is proposed and experimentally tested. In addition to an identification of a relation between ontology concepts, it suggest possible naming of the relation.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:452
Date January 2006
CreatorsKavalec, Martin
ContributorsBerka, Petr, Štěpánková, Olga, Snášel, Václav
PublisherVysoká škola ekonomická v Praze
Source SetsCzech ETDs
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/doctoralThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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