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SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
On labeling schemes for the semantic web
WWW '03 Proceedings of the 12th international conference on World Wide Web
Consistency across the hierarchies of the UMLS semantic network and metathesaurus
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Just the right amount: extracting modules from ontologies
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Guest Editorial: Special Issue on Auditing of Terminologies
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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
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Information Sciences: an International Journal
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Web Semantics: Science, Services and Agents on the World Wide Web
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RR '09 Proceedings of the 3rd International Conference on Web Reasoning and Rule Systems
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A string metric for ontology alignment
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Consequence-based reasoning beyond horn ontologies
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
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Knowledge-Based Systems
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ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
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International Journal of Metadata, Semantics and Ontologies
Ontology matching benchmarks: Generation, stability, and discriminability
Web Semantics: Science, Services and Agents on the World Wide Web
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In this paper, we present LogMap--a highly scalable ontology matching system with 'built-in' reasoning and diagnosis capabilities. To the best of our knowledge, LogMap is the only matching system that can deal with semantically rich ontologies containing tens (and even hundreds) of thousands of classes. In contrast to most existing tools, LogMap also implements algorithms for 'on the fly' unsatisfiability detection and repair. Our experiments with the ontologies NCI, FMA and SNOMED CT confirm that our system can efficiently match even the largest existing bio-medical ontologies. Furthermore, LogMap is able to produce a 'clean' set of output mappings in many cases, in the sense that the ontology obtained by integrating LogMap's output mappings with the input ontologies is consistent and does not contain unsatisfiable classes.