Formally measuring agreement and disagreement in ontologies

Mathieu D'Aquin

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

17 Citations (Scopus)

Abstract

Ontologies are conceptual models of particular domains, and domains can be modeled differently, representing different opinions, beliefs or perspectives. In other terms, ontologies may disagree with some particular pieces of information and among themselves. Assessing such agreements and disagreements is very useful in a variety of scenarios, in particular when integrating external elements of information into existing ones. In this paper, we present a set of measures to evaluate the agreement and disagreement of an ontology with a statement or with other ontologies. While our work goes beyond the naive approach of checking for logical inconsistencies, it relies on a complete formal framework based on the semantics of the considered ontologies. The experiments realized on several concrete scenarios show the validity of our approach and the usefulness of measuring agreement and disagreement in ontologies.

Original languageEnglish
Title of host publicationK-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture
Pages145-152
Number of pages8
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event5th International Conference on Knowledge Capture, K-CAP'09 - Redondo Beach, CA, United States
Duration: 1 Sep 20094 Sep 2009

Publication series

NameK-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture

Conference

Conference5th International Conference on Knowledge Capture, K-CAP'09
Country/TerritoryUnited States
CityRedondo Beach, CA
Period1/09/094/09/09

Keywords

  • Agreement
  • Consensus
  • Controversy
  • Disagreement
  • Ontologies

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