Publication details
Ontology Acquisition Supported by Imprecise Conceptual Refinement - New Results and Reasoning Perspectives
| Authors | |
|---|---|
| Year of publication | 2006 |
| Type | Article in Proceedings |
| Conference | Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu |
| MU Faculty or unit | |
| 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: |