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

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

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

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Abstract

V originále

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.

In Czech

Prace predstavuje nove vysledky v oblasti automatickeho ziskavani taxonomii.

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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)