Motivations of Extensive Incorporation of Uncertainty in OLE Ontologies

NOVÁČEK, Vít. Motivations of Extensive Incorporation of Uncertainty in OLE Ontologies. In SOFSEM 2006: Theory and Practice of Computer Science: 32nd Conference on Current Trends in Theory and Practice of Computer Science. Student Research Forum Proceedings. Prague: Institute of Computer Science, Academy of Sciences of the Czech Republic, 2006, p. 145-154. ISBN 80-903298-4-5.

Basic information

Original name

Motivations of Extensive Incorporation of Uncertainty in OLE Ontologies

Name in Czech

Motivace extenzivniho vyuziti neurcitosti v OLE ontologiich

Authors

NOVÁČEK, Vít (203 Czech Republic, guarantor)

Edition

Prague, SOFSEM 2006: Theory and Practice of Computer Science: 32nd Conference on Current Trends in Theory and Practice of Computer Science. Student Research Forum Proceedings, p. 145-154, 10 pp. 2006

Publisher

Institute of Computer Science, Academy of Sciences of the Czech Republic

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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

References:

URL

RIV identification code

RIV/00216224:14330/06:00015291

Organization unit

Faculty of Informatics

ISBN

80-903298-4-5

Keywords in English

artificial intelligence; semantic web; ontology learning; uncertainty representation; fuzzy sets

Tags

Artificial Intelligence, fuzzy sets, ontology learning, semantic web, uncertainty representation

Tags

International impact, Reviewed

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Abstract

V originále

Recently, the significance of uncertain information representation has become obvious in the Semantic Web community. This paper presents an ongoing research of uncertainty handling in automatically created ontologies. Proposal of a specific framework is provided. The research is related to OLE (Ontology LEarning), a project aimed at bottom-up generation a nd merging of domain specific ontologies. Formal systems that underlie the uncertai nty representation are briefly introduced. We will discuss a universal internal form at of uncertain conceptual structures in OLE then. The proposed format serves as a basis for inference tasks performed among an ontology. These topics are outlined as motivations of our future work.

In Czech

Prezentace explicitniho vyuziti principu reprezentace neurcite informace v systemu OLE pro automaticke vytvareni ontologii.

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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)