Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Learning Disjointness for Debugging Mappings between Lightweight Ontologies
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
A Kernel Revision Operator for Terminologies -- Algorithms and Evaluation
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Ontology Learning and Reasoning -- Dealing with Uncertainty and Inconsistency
Uncertainty Reasoning for the Semantic Web I
Fostering Web Intelligence by Semi-automatic OWL Ontology Refinement
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Ontology Integration Using Mappings: Towards Getting the Right Logical Consequences
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Learning concept hierarchies from text corpora using formal concept analysis
Journal of Artificial Intelligence Research
Non-standard reasoning services for the debugging of description logic terminologies
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
A Relevance-Directed Algorithm for Finding Justifications of DL Entailments
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
DL-Learner: Learning Concepts in Description Logics
The Journal of Machine Learning Research
Finding all justifications of OWL DL entailments
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Optimising ontology classification
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
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
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Finding all justifications of OWL entailments using TMS and MapReduce
Proceedings of the 20th ACM international conference on Information and knowledge management
Integration of large scale knowledge bases using probabilistic graphical models
Proceedings of the 7th ACM international conference on Web search and data mining
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Recent developments in ontology learning research have made it possible to generate significantly more expressive ontologies. Novel approaches can support human ontology engineers in rapidly creating logically complex and richly axiomatized schemas. Although the higher complexity increases the likelihood of modeling flaws, there is currently little tool support for diagnosing and repairing ontologies produced by automated approaches. Off-the-shelf debuggers based on logical reasoning struggle with the particular characteristics of learned ontologies. They are mostly inefficient when it comes to detecting modeling flaws, or highlighting all of the logical reasons for the discovered problems. In this paper, we propose a reasoning approach for discovering unsatisfiable classes and properties that is optimized for handling automatically generated, expressive ontologies. We describe our implementation of this approach, which we evaluated by comparing it with state-of-the-art reasoners.