The Description Logic Handbook
The Description Logic Handbook
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
LUBM: A benchmark for OWL knowledge base systems
Web Semantics: Science, Services and Agents on the World Wide Web
Scalability of OWL reasoning: role condensates
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
Towards scalable instance retrieval over ontologies
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
Distributed island-based query answering for expressive ontologies
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
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In the last years, the vision of the Semantic Web fostered the interest in reasoning over ever larger sets of assertional statements in ontologies. It is easily conjectured that, soon, real-world ontologies will not fit into main memory anymore. If this was the case, state-of-the-art description logic reasoning systems cannot deal with these ontologies any longer, since they rely on in-memory structures. We propose a way to overcome this problem by reducing instance checking for an individual in an ontology to a (usually small) relevant subset of assertional axioms. This subset can then be processed by state-of-the-art description logic reasoning systems to perform sound and complete instance checks for the given individual. We think that this technique will support description logic systems to deal with the upcoming large amounts of assertional data.