Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases

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.

• Type: Conference
• Year: 2007
• Where: ILP
• Authors: Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
• Keywords: Artificial Intelligence, ILP 2007, Inductive Reasoning, Knowledge Base, Several Activities