A Polynomial Approach to the Constructive Induction of Structural Knowledge
Machine Learning - Special issue on evaluating and changing representation
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Tractable and Decidable Fragments of Conceptual Graphs
ICCS '99 Proceedings of the 7th International Conference on Conceptual Structures: Standards and Practices
Inducing Multi-Level Association Rules from Multiple Relations
Machine Learning
The Description Logic Handbook
The Description Logic Handbook
An algorithm based on counterfactuals for concept learning in the Semantic Web
Applied Intelligence
DL-FOIL Concept Learning in Description Logics
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Faster association rules for multiple relations
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
DL-Learner: Learning Concepts in Description Logics
The Journal of Machine Learning Research
Theory and Practice of Logic Programming
Ideal downward refinement in the EL description logic
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
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The paper introduces a task of frequent concept mining: mining frequent patterns of the form of (complex) concepts expressed in description logic. We devise an algorithm for mining frequent patterns expressed in standard EL++ description logic language. We also report on the implementation of our method. As description logic provides the theorethical foundation for standard Web ontology language OWL, and description logic concepts correspond to OWL classes, we envisage the possible use of our proposed method on a broad range of data and knowledge intensive applications that exploit formal ontologies.