Publication detail

Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework

SMRŽ, P. NOVÁČEK, V.

Original Title

Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework

Type

conference paper

Language

English

Original Abstract

The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents our research on uncertainty handling in automatically created ontologies. A new framework for uncertain information processing is proposed. The research is related to OLE (Ontology LEarning) - a project aimed at bottomup generation and merging of domain-specific ontologies. Formal systems that underlie the uncertainty representation are briefly introduced. We discuss the universal internal format of uncertain conceptual structures in OLE then and offer a utilisation example then. The proposed format serves as a basis for empirical improvement of initial knowledge acquisition methods as well as for general explicit inference tasks.

Keywords

ontology, uncertainty

Authors

SMRŽ, P.; NOVÁČEK, V.

RIV year

2006

Released

11. 7. 2006

Publisher

Springer Verlag

Location

Berlin

ISBN

3-540-34544-2

Book

The Semantic Web: Research and Applications

Edition

Lecture notes in Computer Science 4011/2006 - Proceedings of ESWC'06 - the 3rd European Semantic Web Conference

Pages from

65

Pages to

79

Pages count

15

BibTex

@inproceedings{BUT22212,
  author="Pavel {Smrž} and Vít {Nováček}",
  title="Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework",
  booktitle="The Semantic Web: Research and Applications",
  year="2006",
  series="Lecture notes in Computer Science 4011/2006 - Proceedings of ESWC'06 - the 3rd European Semantic Web Conference",
  pages="65--79",
  publisher="Springer Verlag",
  address="Berlin",
  isbn="3-540-34544-2"
}