Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
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Journal of Intelligent Information Systems - Special issue on intelligent integration of information
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SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Distributed and Parallel Databases
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Information Retrieval
Schema Mapping as Query Discovery
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
ACM SIGMOD Record
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ACM SIGMOD Record
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VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Semi-automated schema integration with SASMINT
Knowledge and Information Systems
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In most suggested systems aiming to enable interoperability and collaboration among heterogeneous databases, schema matching and integration is performed manually The SASMINT system introduced in this paper proposes a (semi-) automated approach to tackle the following: 1) identification of the syntactic/semantic/structural similarities between the donor and recipient schemas to resolve their heterogeneities, 2) suggestion of corresponding mappings among the pairs of matched components, 3) facilitation of user-interaction with the system, necessary for validation/enhancement of results, and 4) generation of a proposed integrated schema, and a set of derivation rules for each of its components to support query processing against integrated sources Unlike other systems that typically apply one specific algorithm, SASMINT applies a hybrid approach for schema matching that combines a selection of algorithms from NLP and graph theory Furthermore, SASMINT exploits the user-validated schema matching results in its semi-automatic generation of the integrated schema and its necessary derivations.