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Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases |
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Claudia D'Amato, Dipartimento di Informatica, Università di Bari, Italy |
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Several activities related to semantically annotated resources can be enabled by a notion of similarity, spanning from clustering to retrieval, matchmaking and other forms of inductive reasoning. We propose the definition of a family of semi-distances over the set of objects in a knowledge base which can be used in these activities. In the line of works on distance-induction on clausal spaces, the family is parameterized on a committee of concepts. Hence, we also present a method based on the idea of simulated annealing to be used to optimize the choice of the best concept committee. |