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

Permalink: http://www.nusl.cz/ntk/nusl-452


The record appears in these collections:
Universities and colleges > Public universities > University of Economics, Prague
Academic theses (ETDs) > Doctoral theses