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Formally measuring agreement and disagreement in ontologies

<22>This paper provides the first method to measure semantic heterogeneity in ontologies that formalises the aspects of agreement and disagreement in the knowledge they express. This is being used in areas where such semantic heterogeneity is critical, such as knowledge reuse (paper http://dx.doi.org/10.1007/978-3-642-17749-1_6 from Oscar Corcho's group in Madrid), ontology alignment (http://dx.doi.org/10.1007/978-3-642-17746-0_9 from Jerome Euzenat's group in Grenoble and his student's project http://ensiwiki.ensimag.fr/images/4/40/Rapport_TER_Julien_Malherbe.pdf) or peer-to-peer systems (e.g. in the PhD thesis http://hal.inria.fr/docs/00/76/39/14/PDF/TheseThomasCerqueus_Finale1.pdf supervised by Philippe Lamarre in Nante). In our own work, this paper bootstrapped the empirical analysis of conceptual views in web-enabled knowledge representations.