Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
An algorithm based on counterfactuals for concept learning in the semantic web
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
A refinement operator based learning algorithm for the ALC description logic
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
DL-FOIL Concept Learning in Description Logics
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Learning with Kernels in Description Logics
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
LinkedGeoData: Adding a Spatial Dimension to the Web of Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
DL-Learner: Learning Concepts in Description Logics
The Journal of Machine Learning Research
Towards the induction of terminological decision trees
Proceedings of the 2010 ACM Symposium on Applied Computing
Conceptual clustering applied to ontologies: a distance-based evolutionary approach
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Conceptual clustering and its application to concept drift and novelty detection
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
A refinement operator based learning algorithm for the ALC description logic
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Fuzzy Clustering for Semantic Knowledge Bases
Fundamenta Informaticae - Methodologies for Intelligent Systems
Ideal downward refinement in the EL description logic
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
ORE - a tool for repairing and enriching knowledge bases
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Class expression learning for ontology engineering
Web Semantics: Science, Services and Agents on the World Wide Web
Introduction to linked data and its lifecycle on the web
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
DC proposal: ontology learning from noisy linked data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
A lightweight ontology learning method for chinese government documents
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Categorize by: deductive aggregation of semantic web query results
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Learning probabilistic description logics: a framework and algorithms
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Measuring similarity in description logics using refinement operators
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Data Mining and Knowledge Discovery
Universal OWL axiom enrichment for large knowledge bases
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Introduction to linked data and its lifecycle on the web
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
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With the advent of the Semantic Web, description logics have become one of the most prominent paradigms for knowledge representation and reasoning. Progress in research and applications, however, faces a bottleneck due to the lack of available knowledge bases, and it is paramount that suitable automated methods for their acquisition will be developed. In this paper, we provide the first learning algorithm based on refinement operators for the most fundamental description logic ALC. We develop the algorithm from thorough theoretical foundations and report on a prototype implementation.