Logic programming and databases
Logic programming and databases
Attributive concept descriptions with complements
Artificial Intelligence
{\cal A}{\cal L}-log: Integrating Datalog and Description Logics
Journal of Intelligent Information Systems
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
Clustering Ontology-Based Metadata in the Semantic Web
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Inducing Multi-Level Association Rules from Multiple Relations
Machine Learning
A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
Learnability of description logic programs
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Mining association rules from semantic web data
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Finding association rules in semantic web data
Knowledge-Based Systems
A methodology for building semantic web mining systems
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Reconciling ontologies and the web of data
Proceedings of the 21st ACM international conference on Information and knowledge management
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This paper deals with mining the logical layer of the Semantic Web. Our approach adopts the hybrid system $\mathcal{AL}$-log as a knowledge representation and reasoning framework and Inductive Logic Programming as a methodological apparatus. We illustrate the approach by means of examples taken from a case study of frequent pattern discovery in data of the on-line CIA World Fact Book.