Ontology Learning and Information Extraction for the Semantic Web

Martin Kavalec

Doctoral thesis

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

ontology learning, information extraction, association rules, natural language processing, semantic web

Jazyk práce: English

Datum vytvoření / odevzdání či podání práce: 4. 9. 2006

Obhajoba závěrečné práce

• Obhajoba proběhla 2016
• Vedúci: Petr Berka
• Oponent: Olga Burešová

Vysoká škola ekonomická v Praze

Doctoral programme / odbor:
Aplikovaná informatika / Informatika