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

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
• WWW: 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

Abstract

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.

Abstract (in Czech)

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

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)