Original title:
Ontology Learning and Information Extraction for the Semantic Web
Authors:
Kavalec, Martin ; Berka, Petr (advisor) ; Štěpánková, Olga (referee) ; Snášel, Václav (referee) Document type: Doctoral theses
Year:
2006
Language:
eng Publisher:
Vysoká škola ekonomická v Praze Abstract:
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.
Keywords:
association rules; information extraction; natural language processing; ontology learning; semantic web
Institution: University of Economics, Prague
(web)
Document availability information: Available in the digital repository of the University of Economics, Prague. Original record: http://www.vse.cz/vskp/eid/786