Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Mapping domains to methods in support of reuse
International Journal of Human-Computer Studies
Semantic integration of semistructured and structured data sources
ACM SIGMOD Record
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Schema Mapping as Query Discovery
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
UPML: A Framework for Knowledge System Reuse
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
TABLEAUX '98 Proceedings of the International Conference on Automated Reasoning with Analytic Tableaux and Related Methods
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
An Algebra for Semantic Interoperability of Information Sources
BIBE '01 Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering
Semantic Web Complex Ontology Mapping
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Ontology mapping: the state of the art
The Knowledge Engineering Review
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Ontology mapping is the process whereby semantic relations are defined between two ontologies at conceptual level, which in turn are applied at data level transforming source ontology instances into target ontology instances. This paper focuses on the formalisation, representation and automatic specification of semantic relations between two ontologies. The described approach grounds on the notion of service, which represents not only the transformation capabilities of the system, but also the expertise in the manipulation of semantic relations. The main contributions of this paper are the formalisation of the ontology mapping process and the specification of the multidimensional service-oriented architecture.