A framework for modeling and evaluating automatic semantic reconciliation
The VLDB Journal — The International Journal on Very Large Data Bases
Automatic ontology matching using application semantics
AI Magazine - Special issue on semantic integration
Why is schema matching tough and what can we do about it?
ACM SIGMOD Record
Data integration with uncertainty
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Managing uncertainty in schema matching with top-k schema mappings
Journal on Data Semantics VI
Efficient management of uncertainty in XML schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
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Uncertainty management at the core of data integration was motivated by new approaches to data management, such as dataspaces [2] and the use of fullyautomatic schema matching takes an increasingly prominent role in this field. Recent works suggested the use, in parallel, of several alternative schema matching, as an uncertainty management tool [3,1]. We offer in this work OntoMatcher, an extension of the OntoBuilder [4] schema matching tool to support the management of multiple (top-K) schema matching alternatives.