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

Warning

This publication doesn't include Faculty of Arts. It includes Faculty of Informatics. Official publication website can be found on muni.cz.

Authors	NOVÁČEK Vít
Year of publication	2006
Type	Article in Proceedings
Conference	Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu
MU Faculty or unit	Faculty of Informatics
Citation
Field	Informatics
Keywords	ontology acquisition; uncertainty representation
Description	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.
Related projects:	Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)