Motivations of Extensive Incorporation of Uncertainty in OLE Ontologies
| Authors | |
|---|---|
| Year of publication | 2006 |
| Type | Article in Proceedings |
| Conference | SOFSEM 2006: Theory and Practice of Computer Science: 32nd Conference on Current Trends in Theory and Practice of Computer Science. Student Research Forum Proceedings |
| MU Faculty or unit | |
| Citation | |
| Web | http://nlp.fi.muni.cz/projects/ole/pubs.html |
| Field | Informatics |
| Keywords | artificial intelligence; semantic web; ontology learning; uncertainty representation; fuzzy sets |
| Description | 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. |
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