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Qualitative Causal Analysis of Empirical Knowledge for Ontology Evolution in Physics

By J. Lehmann, Alan Bundy and M. Chan


Ontology evolution and its automation are key factors for achieving\ud software’s flexibility and adaptability. In the approach to automated\ud ontology evolution adopted in the GALILEO project, progress in\ud physics is modelled as a process of ontology evolution. An overview\ud of the approach is provided in Section 2. Section 3 shows that the\ud 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\ud logical conditions for the equation to evolve

Year: 2010
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