Resolving semantic heterogeneity in schema integration
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Utility Information Integration Vision, Benefits, Strategies, and Status
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 4 - Volume 4
Application of ontology translation
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
A Common Information Exchange Model for Multiple C4I Architectures
UKSIM '10 Proceedings of the 2010 12th International Conference on Computer Modelling and Simulation
Automatic building of an appropriate global ontology
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
Ontology Matching: State of the Art and Future Challenges
IEEE Transactions on Knowledge and Data Engineering
AOW '07 Proceedings of the Third Australasian Workshop on Advances in Ontologies - Volume 85
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Because of the semantic conflicts, the exchange of information between heterogeneous applications remains a complex task. One way to address this problem is to use ontologies for the identification and association of semantically corresponding information concepts. In the electric power industry, the IEC/CIM represents the most complete and widely accepted ontology. We attempt to show through three concrete examples how the CIM can reap advantages from a formal representation of knowledge in order to support complex processes. We present a semantic approach for finding ringlets in the distribution network, for checking specific data inconsistencies and finally for identifying CIM topological nodes. We conclude by stating that the combination of CIM and RDF has the main advantage of offering valuable flexibility in processing complex tasks.