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

Warning

This publication doesn't include Faculty of Education. 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:

You are running an old browser version. We recommend updating your browser to its latest version.