Ontology Acquisition Supported by Imprecise Conceptual Refinement - New Results and Reasoning Perspectives

NOVÁČEK, Vít. Ontology Acquisition Supported by Imprecise Conceptual Refinement - New Results and Reasoning Perspectives. In Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu. Praha: Ústav informatiky AV ČR, 2006, p. 91-101, 10 pp. ISBN 80-903298-7-X.

Basic information

• Original name: Ontology Acquisition Supported by Imprecise Conceptual Refinement - New Results and Reasoning Perspectives
• Name in Czech: Ziskavani ontologii s podporou neurciteho konceptualniho zpresnovani - nove vysledky a perspektivy z hlediska automatickeho usuzovani
• Authors: NOVÁČEK, Vít (203 Czech Republic, guarantor).
• Edition: Praha, Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu, p. 91-101, 10 pp. 2006.
• Publisher: Ústav informatiky AV ČR

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• RIV identification code: RIV/00216224:14330/06:00015508
• Organization unit: Faculty of Informatics
• ISBN: 80-903298-7-X
• Keywords in English: ontology acquisition; uncertainty representation
• Tags: ontology acquisition, uncertainty representation

Abstract

The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents new results of our research on uncertainty handling in ontologies created automatically by means of Human Language Technologies. The research is related to OLE (Ontology LEarning)\footnote{The project's web page can be found at URL: \url{http://nlp.fi.muni.cz/projects/ole/}.} --- a project aimed at bottom--up generation and merging of domain--specific ontologies. It utilises a proposal of expressive fuzzy knowledge representation framework called {\sf ANUIC}. We discuss current achievements in taxonomy acquisition and outline some interesting applications of the framework regarding non--traditional reasoning perspectives.

Abstract (in Czech)

Prace predstavuje nove vysledky v oblasti automatickeho ziskavani taxonomii.

Links

• 1ET100300419, research and development project: Name: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu

Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)