Query Reformulation in Multidatabase Systems using Semantic Knowledge

Abstract : We consider a multidatabase system (MDBMS) with a common object-oriented model, based on the ODMG standard, and local databases that may be relational, object-oriented, or file systems. The MDBMS interface could be different from the union of the local interfaces, and may include views of particular local databases, integrity constraints, and knowledge about data replication in local databases. Query reformulation is made difficult by the variety of semantic knowledge that is used to describe the MDBMS. We present a reformulation algorithm which exploits semantic knowledge, represented as integrity assertions and mapping rules, for semantic rewriting based on pattern-matching. It is general enough to re-use the results of previously computed queries in the MDBMS.
Type de document :
[Research Report] RR-2561, INRIA. 1995
Liste complète des métadonnées

Littérature citée [25 références]  Voir  Masquer  Télécharger

Contributeur : Rapport de Recherche Inria <>
Soumis le : mercredi 24 mai 2006 - 14:33:36
Dernière modification le : mercredi 21 novembre 2018 - 19:26:10
Document(s) archivé(s) le : jeudi 24 mars 2011 - 14:16:47



  • HAL Id : inria-00074120, version 1



Daniela Florescu, Louiqa Raschid, Patrick Valduriez. Query Reformulation in Multidatabase Systems using Semantic Knowledge. [Research Report] RR-2561, INRIA. 1995. 〈inria-00074120〉



Consultations de la notice


Téléchargements de fichiers