Generalized subsumption and its applications to induction and redundancy
Artificial Intelligence
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
On the relative expressiveness of description logics and predicate logics
Artificial Intelligence
ACM Transactions on Database Systems (TODS)
What You Always Wanted to Know About Datalog (And Never Dared to Ask)
IEEE Transactions on Knowledge and Data Engineering
The Description Logic Handbook
The Description Logic Handbook
Foundations of Onto-Relational Learning
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Semantic and computational advantages of the safe integration of ontologies and rules
PPSWR'05 Proceedings of the Third international conference on Principles and Practice of Semantic Web Reasoning
| Hi-index | 0.00 |
In this paper we carry on the work on Onto-Relational Learning by investigating the impact of having disjunctive Datalog with default negation either in the language of hypotheses or in the language for the background theory. The inclusion of nonmonotonic features strengthens the ability of our ILP framework to deal with incomplete knowledge. One such ability can turn out to be useful in application domains, such as the Semantic Web. As a showcase we face the problem of inducing an integrity theory for a relational database whose instance is given and whose schema encompasses an ontology and a set of rules linking the database to the ontology.