Detail publikace

Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework

SMRŽ, P. NOVÁČEK, V.

Originální název

Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

ontology, uncertainty

Autoři

SMRŽ, P.; NOVÁČEK, V.

Rok RIV

2006

Vydáno

11. 7. 2006

Nakladatel

Springer Verlag

Místo

Berlin

ISBN

3-540-34544-2

Kniha

The Semantic Web: Research and Applications

Edice

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

Strany od

65

Strany do

79

Strany počet

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"
}