Description logics of minimal knowledge and negation as failure
ACM Transactions on Computational Logic (TOCL)
IJCAR '01 Proceedings of the First International Joint Conference on Automated Reasoning
Modeling a description logic vocabulary for cancer research
Journal of Biomedical Informatics
The foundational model of anatomy in OWL: Experience and perspectives
Web Semantics: Science, Services and Agents on the World Wide Web
Just the right amount: extracting modules from ontologies
Proceedings of the 16th international conference on World Wide Web
Bridging the gap between OWL and relational databases
Proceedings of the 16th international conference on World Wide Web
Debugging unsatisfiable classes in OWL ontologies
Web Semantics: Science, Services and Agents on the World Wide Web
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
FaCT++ description logic reasoner: system description
IJCAR'06 Proceedings of the Third international joint conference on Automated Reasoning
Ontology consolidation in bioinformatics
APCCM '10 Proceedings of the Seventh Asia-Pacific Conference on Conceptual Modelling - Volume 110
Semantic integration of information about orthologs and diseases: The OGO system
Journal of Biomedical Informatics
Review: Where to publish and find ontologies? A survey of ontology libraries
Web Semantics: Science, Services and Agents on the World Wide Web
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OBO is an ontology language that has often been used for modeling ontologies in the life sciences. Its definition is relatively informal, so, in this paper, we provide a clear specification for OBO syntax and semantics via a mapping to OWL. This mapping also allows us to apply existing Semantic Web tools and techniques to OBO. We show that Semantic Web reasoners can be used to efficiently reason with OBO ontologies. Furthermore, we show that grounding the OBO language in formal semantics is useful for the ontology development process: using an OWL reasoner, we detected a likely modeling error in one OBO ontology.