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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1145/1597735.1597761|
|Google Scholar:||Look up in Google Scholar|
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 agree- ments and disagreements is very useful in a variety of scenarios, in particular when integrating external ele- ments 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 se- mantics of the considered ontologies. The experiments realized on several concrete scenarios show the validity of our approach and the usefulness of measuring agree- ment and disagreement in ontologies.
|Item Type:||Conference Item|
|Copyright Holders:||2009 ACM|
|Keywords:||ontologies; agreement; disagreement; consensus; controversy|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Mathieu d'Aquin|
|Date Deposited:||23 Nov 2010 10:23|
|Last Modified:||06 Oct 2016 03:44|
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