ACM Transactions on Database Systems (TODS)
Combining Horn rules and description logics in CARIN
Artificial Intelligence
{\cal A}{\cal L}-log: Integrating Datalog and Description Logics
Journal of Intelligent Information Systems
Genome scale prediction of protein functional class from sequence using data mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Relational Data Mining
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Description logic programs: combining logic programs with description logic
WWW '03 Proceedings of the 12th international conference on World Wide Web
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
Using OWL to model biological knowledge
International Journal of Human-Computer Studies
Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family
Journal of Automated Reasoning
Reasoning in Description Logics by a Reduction to Disjunctive Datalog
Journal of Automated Reasoning
Combining answer set programming with description logics for the Semantic Web
Artificial Intelligence
A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Foundations of Onto-Relational Learning
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
On the Influence of Description Logics Ontologies on Conceptual Similarity
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
On Reducing Redundancy in Mining Relational Association Rules from the Semantic Web
RR '08 Proceedings of the 2nd International Conference on Web Reasoning and Rule Systems
Statistical Learning for Inductive Query Answering on OWL Ontologies
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
A general datalog-based framework for tractable query answering over ontologies
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A faithful integration of description logics with logic programming
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Faster association rules for multiple relations
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Data complexity of reasoning in very expressive description logics
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Query Answering for OWL-DL with rules
Web Semantics: Science, Services and Agents on the World Wide Web
A declarative kernel for concept descriptions
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
A comparison of reasoning techniques for querying large description logic ABoxes
LPAR'06 Proceedings of the 13th international conference on Logic for Programming, Artificial Intelligence, and Reasoning
Frequent pattern discovery from OWL DLP knowledge bases
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Towards discovery of frequent patterns in description logics with rules
RuleML'05 Proceedings of the First international conference on Rules and Rule Markup Languages for the Semantic Web
Knowledge representation for automated reasoning
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Fr-ONT: an algorithm for frequent concept mining with formal ontologies
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
RDF semantics for web association rules
RR'11 Proceedings of the 5th international conference on Web reasoning and rule systems
Context and target configurations for mining RDF data
Proceedings of the 1st international workshop on Search and mining entity-relationship data
Reconciling ontologies and the web of data
Proceedings of the 21st ACM international conference on Information and knowledge management
Tractable reasoning problems with fully-characterized association rules
ADBIS'12 Proceedings of the 16th East European conference on Advances in Databases and Information Systems
AL-QuIn: An Onto-Relational Learning System for Semantic Web Mining
International Journal on Semantic Web & Information Systems
Discovering interesting information with advances in web technology
ACM SIGKDD Explorations Newsletter
AMIE: association rule mining under incomplete evidence in ontological knowledge bases
Proceedings of the 22nd international conference on World Wide Web
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We propose a new method for mining frequent patterns in a language that combines both Semantic Web ontologies and rules. In particular, we consider the setting of using a language that combines description logics (DLs) with DL-safe rules. This setting is important for the practical application of data mining to the Semantic Web. We focus on the relation of the semantics of the representation formalism to the task of frequent pattern discovery, and for the core of our method, we propose an algorithm that exploits the semantics of the combined knowledge base. We have developed a proof-of-concept data mining implementation of this. Using this we have empirically shown that using the combined knowledge base to perform semantic tests can make data mining faster by pruning useless candidate patterns before their evaluation. We have also shown that the quality of the set of patterns produced may be improved: the patterns are more compact, and there are fewer patterns. We conclude that exploiting the semantics of a chosen representation formalism is key to the design and application of (onto-)relational frequent pattern discovery methods.