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Notes of the ECAI-10 Workshop on Automated Reasoning about Context and Ontology Evolution

dc.contributor.authorLehmann, J.
dc.contributor.authorBundy, Alan
dc.contributor.authorChan, M.
dc.date.accessioned2011-01-31T14:29:22Z
dc.date.available2011-01-31T14:29:22Z
dc.date.issued2010-08-16
dc.identifier.urihttp://www.arcoe.org/2010/ARCOE10-Proc.pdfen
dc.identifier.urihttp://hdl.handle.net/1842/4718
dc.description.abstractOntology evolution and its automation are key factors for achieving software’s flexibility and adaptability. In the approach to automated ontology evolution adopted in the GALILEO project, progress in physics is modelled as a process of ontology evolution. An overview of the approach is provided in Section 2. Section 3 shows that the construction and the modification of qualitative causal models of experimental set-ups make it possible to gain information about the quantities that appear in an equation and contribute to creating the logical conditions for the equation to evolve.en
dc.language.isoenen
dc.titleQualitative Causal Analysis of Empirical Knowledge for Ontology Evolution in Physicsen
dc.typeConference Paperen
rps.titleNotes of the ECAI-10 Workshop on Automated Reasoning about Context and Ontology Evolutionen
dc.extent.noOfPages15-16en
dc.date.updated2011-01-31T14:29:23Z
dc.date.openingDate2010-08-16
dc.date.closingDate2010-08-18


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