Ontology Matching
Ontology similarity in the alignment space
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Semantic techniques for enabling knowledge reuse in conceptual modelling
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Automatic identification of ontology versions using machine learning techniques
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Impact of using relationships between ontologies to enhance the ontology search results
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Is there beauty in ontologies?
Applied Ontology - Is there Beauty in Ontologies?
Overlapping and competing ontologies
Proceedings of the 1st International Workshop on Collaborative Annotations in Shared Environment: metadata, vocabularies and techniques in the Digital Humanities
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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.