Publication: Diagnosis discrimination for ontology d...

Master data
Title: Diagnosis discrimination for ontology debugging
Subtitle:
Abstract: Debugging is an important prerequisite for the wide-spread application of ontologies, especially in areas that rely upon everyday users to create and maintain knowledge bases, such as the Semantic Web. Recent approaches use diagnosis methods to identify sources of inconsistency. However, in most debugging cases these methods return many alternative diagnoses, thus placing the burden of fault localization on the user. This paper demonstrates how the target diagnosis can be identified by performing a sequence of observations, that is, by querying an oracle about entailments of the target ontology.
Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 2010 (Print)
Published by: 19th Conference on Artificial Intelligence
19th Conference on Artificial Intelligence
to publication
 ( IOS Press; Proceedings of the 2010 conference on ECAI 2010 )
Title of the series: -
Volume number: -
First publication: Yes
Page: pp. 991 - 992

Versionen
Keine Version vorhanden
Publication date: 2010
ISBN:
  • 9781607506058
ISSN: -
Homepage: -

Assignment
Organisation Address
Fakultät für Technische Wissenschaften
  Institut für Artificial Intelligence und Cybersecurity
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
  -993705
   aics-office@aau.at
https://www.aau.at/en/aics/
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Categorisation
Subject areas
  • 1108 - Informatics
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: n.a.)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations
No partner organisations selected

Articles of the publication
No related publications