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
ACM SIGKDD Explorations Newsletter
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Ontological Engineering
Web Semantics: Science, Services and Agents on the World Wide Web
Learnability of description logic programs
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Mining the semantic web: a logic-based methodology
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Towards Machine Learning on the Semantic Web
Uncertainty Reasoning for the Semantic Web I
An overview of AI research in Italy
Artificial intelligence
Inducing and storing generalised evidences using semantic web formalisms
HIKM '12 Proceedings of the Fifth Australasian Workshop on Health Informatics and Knowledge Management - Volume 129
| Hi-index | 0.00 |
In this paper we present a methodology based on interoperability for building Semantic Web Mining systems. In particular we consider the still poorly investigated case of mining the Semantic Web layers of ontologies and rules. We argue that Inductive Logic Programming systems could serve the purpose if they were more compliant with the standards of representation for ontologies and rules in the Semantic Web and/or interoperable with well-established Ontological Engineering tools that support these standards.