ACM Computing Surveys (CSUR)
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
ECML '97 Proceedings of the 9th European Conference on Machine Learning
Distance Induction in First Order Logic
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
Distances and Limits on Herbrand Interpretations
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Machine Learning
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Incremental learning and concept drift in INTHELEX
Intelligent Data Analysis
kFOIL: learning simple relational kernels
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
A multi-relational hierarchical clustering method for DATALOG knowledge bases
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Learning with semantic kernels for clausal knowledge bases
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
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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 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.