The role of ontologies in autonomic computing systems
IBM Systems Journal
An Algorithm for Computing Inconsistency Measurement by Paraconsistent Semantics
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Evaluating formalisms for modular ontologies in distributed information systems
RR'07 Proceedings of the 1st international conference on Web reasoning and rule systems
Semantic cooperation and knowledge reuse by using autonomous ontologies
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Consistent evolution of OWL ontologies
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Distributed multi-contextual ontology evolution – a step towards semantic autonomy
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
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Both semantic web applications and individuals are in need of knowledge infrastructures that can be used in dynamic and distributed environments where different autonomous entities create knowledge and build their own view of a domain. Our framework represents this using evolving simple contextual ontologies and mappings between them, at the same time as incremental logical coherence is maintained. The definition of semantic autonomy includes these aspects. Our earlier research has shown that a knowledge infrastructure can have semantic autonomy that maintains global consistency, if the knowledge representation is kept simple. We generalize that research by investigating what happens if the consistency of a knowledge infrastructure is bounded 1) within certain regions called spheres of consistency, and 2) by allowing a limited variable degree of inconsistency. Our experiments show that a phase transition can occur in this kind of system, beyond which constant-time and constant-memory complexity is approached.