SASMINT system for database interoperability in collaborative networks

  • Authors:
  • Ozgul Unal;Hamideh Afsarmanesh

  • Affiliations:
  • Informatics Institute, University of Amsterdam;Informatics Institute, University of Amsterdam

  • Venue:
  • ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
  • Year:
  • 2006

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Abstract

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.