Název:
Ontology Learning and Information Extraction for the Semantic Web
Autoři:
Kavalec, Martin ; Berka, Petr (vedoucí práce) ; Štěpánková, Olga (oponent) ; Snášel, Václav (oponent) Typ dokumentu: Disertační práce
Rok:
2006
Jazyk:
eng
Nakladatel: Vysoká škola ekonomická v Praze
Abstrakt: 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.
Klíčová slova:
association rules; information extraction; natural language processing; ontology learning; semantic web
Instituce: Vysoká škola ekonomická v Praze
(web)
Informace o dostupnosti dokumentu:
Dostupné v digitálním repozitáři VŠE. Původní záznam: http://www.vse.cz/vskp/eid/786