Abstract
The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents new results of our research on uncertainty incorporation into ontologies created automatically by means of Human Language Technologies. The research is related to OLE (Ontology LEarning) - a project aimed at bottom-up generation and merging of ontologies. It utilises a proposal of expressive fuzzy knowledge representation framework called ANUIC (Adaptive Net of Universally Interrelated Concepts). We discuss our recent achievements in taxonomy acquisition and show how even simple application of the principles of ANUIC can improve the results of initial knowledge extraction methods.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS |
| Publisher | INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION |
| Number of pages | 7 |
| Publication status | Published - 1 Jan 2007 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Novacek, V