Induction of optimal semantic semi-distances for clausal knowledge bases

  • Authors:
  • Claudia D'Amato;Nicola Fanizzi;Floriana Esposito

  • Affiliations:
  • LACAM, Dipartimento di Informatica, Università degli studi di Bari, Bari, Italy;LACAM, Dipartimento di Informatica, Università degli studi di Bari, Bari, Italy;LACAM, Dipartimento di Informatica, Università degli studi di Bari, Bari, Italy

  • Venue:
  • ILP'07 Proceedings of the 17th international conference on Inductive logic programming
  • Year:
  • 2007

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Abstract

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 expressed with clauses. 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.