ACM Computing Surveys (CSUR)
Your mediators need data conversion!
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Conjunctive constraint mapping for data translation
Proceedings of the third ACM conference on Digital libraries
Mediators in the architecture of future information systems
Readings in agents
Correspondence and translation for heterogeneous data
Theoretical Computer Science
MAFRA - A MApping FRAmework for Distributed Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
MedMaker: A Mediation System Based on Declarative Specifications
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Correspondence and Translation for Heterogeneous Data
ICDT '97 Proceedings of the 6th International Conference on Database Theory
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
A framework for modeling and evaluating automatic semantic reconciliation
The VLDB Journal — The International Journal on Very Large Data Bases
A Probabilistic XML Approach to Data Integration
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Schema integration based on uncertain semantic mappings
ER'05 Proceedings of the 24th international conference on Conceptual Modeling
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The task of translating data from one schema into another is usually performed with the help of information stating how the elements between two schemas correspond. Translation mechanisms can use this information in order to identify how instances of a source schema must be translated. We claim that a uniform matching approach, where instances of a source classes are always translated into the same target classes, may not represent the reality, specially when the schemas involved describe taxonomies. In this paper we demonstrate taxonomies that support our idea, and propose the usage of a conditional matching approach to improve the accuracy of taxonomical instances translation.