Logic programming and databases
Logic programming and databases
Attributive concept descriptions with complements
Artificial Intelligence
The Utility of Knowledge in Inductive Learning
Machine Learning
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Flattening and Saturation: Two Representation Changes for Generalization
Machine Learning - Special issue on evaluating and changing representation
On the relative expressiveness of description logics and predicate logics
Artificial Intelligence
{\cal A}{\cal L}-log: Integrating Datalog and Description Logics
Journal of Intelligent Information Systems
Machine Learning - Special issue on inducive logic programming
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Background Knowledge and Declarative Bias in Inductive Concept Learning
AII '92 Proceedings of the International Workshop on Analogical and Inductive Inference
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Ontological Engineering
An empirical study of the use of relevance information in inductive logic programming
The Journal of Machine Learning Research
Ilp: a short look back and a longer look forward
The Journal of Machine Learning Research
A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
Handbook on Ontologies (International Handbooks on Information Systems)
Handbook on Ontologies (International Handbooks on Information Systems)
Learnability of description logic programs
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
On the Missing Link Between Frequent Pattern Discovery and Concept Formation
Inductive Logic Programming
Acquisition of OWL DL Axioms from Lexical Resources
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Fostering Web Intelligence by Semi-automatic OWL Ontology Refinement
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
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The use of background knowledge is one of the distinguishing features of ILP with respect to other approaches to machine learning. Yet the representation formalisms traditionally chosen for the background knowledge in ILP seem to ignore the latest developments in Knowledge Engineering such as standard languages for ontologies. In this paper we present a case study that shows how current ILP systems can be made compliant with these standards in order to fulfill the expressive requirements of emerging application areas like the Semantic Web.