Exploitation d'une hiérarchie de subsomption par le biais de mesures sémantiques

Abstract : A lot of work in knowledge engineering is based on ontologies which organize the knowledge around the subsumption relationship. The subsumption hierarchies are sometimes exploited by the way of semantic measures. We find in the literature various measures usually defined to fulfil the need of a specific application. The diversity of considered domains make it difficult to compare the existing measures and to reuse it. However, the preliminary choice of a " good " measure is a crucial problem because it influence the relevance of the downward obtained results. In our thesis, we define a theoretical framework which support the analysis, the comparison and the definition of the information content. The uniqueness of our approach is that it exploits the information content without the necessity of a corpus. We propose several approximations of the probability measure which allow us to exploit various aspects of a subsumption hierarchy. The problem of the evaluation of links between two objects represented by sets is widely discussed in the literature. We propose an analogy which allows us to adapt it to a subsumption hierarchy. We present a tool which taken back the theoretical approach developed in this thesis. We have implemented a user interface which allow us to define semantic similarities. Our tool offer different ways to analyse the behaviour of these similarities on a subsumption hierarchy. We have also proposed an adaptation of our tool for the UEML knowledge base developed in conjunction with the INTEROP-NoE network of excellence.
keyword : ontologie
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Emmanuel Blanchard. Exploitation d'une hiérarchie de subsomption par le biais de mesures sémantiques. Informatique [cs]. Université de Nantes, 2008. Français. ⟨tel-00485099⟩

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