An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
A survey of kernels for structured data
ACM SIGKDD Explorations Newsletter
Kernels and Distances for Structured Data
Machine Learning
The Description Logic Handbook
The Description Logic Handbook
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
The Journal of Machine Learning Research
Learning with feature description logics
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Classification and Retrieval through Semantic Kernels
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Learning with Kernels in Description Logics
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Statistical Learning for Inductive Query Answering on OWL Ontologies
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Analogical Reasoning in Description Logics
Uncertainty Reasoning for the Semantic Web I
Inductive concept retrieval and query answering with semantic knowledge bases through kernel methods
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Theory and Practice of Logic Programming
ASPARAGUS - a system for automatic SPARQL query results aggregation using semantics
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Induction of robust classifiers for web ontologies through kernel machines
Web Semantics: Science, Services and Agents on the World Wide Web
Data Mining and Knowledge Discovery
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
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This work investigates on kernels that are applicable to semantic annotations expressed in Description Logics which are the theoretical counterpart of the standard representations for the Semantic Web. Namely, the focus is on the definition of a kernel for the logic, based both on the syntax and on the semantics of concept descriptions. The kernel is proved to be valid. Furthermore, semantic distance measures are induced from the kernel function.