Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Ontology mapping: the state of the art
The Knowledge Engineering Review
Hi-index | 0.00 |
We address in this paper the issue of a semantic interoperability between systems relying on semantically heterogeneous models, having been designed for the purpose of independent specific goals and activities. Examples of models include ER-schema, ontologies and taxonomies. In our approach, we make explicit the semantics embedded in UML class diagrams. Towards the high expressiveness of UML constructs, we formalize their semantics in terms of a logic belonging to Description logics. However, in our opinion, Description logics's constructors are not sufficient to express contextual knowledge, we propose a reference metamodel that offers contextual primitives.