Improving source selection in large scale mediation systems through combinatorial optimization techniques

Alexandra Pomares, Claudia Roncancio, Van Dat Cung, María Del Pilar Villamil

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This paper concerns querying in large scale virtual organizations. Such organizations are characterized by a challenging data context involving a large number of distributed data sources with strong heterogeneity and uncontrolled data overlapping. In that context, data source selection during query evaluation is particularly important and complex. To cope with this task, we propose OptiSource, an original strategy for source selection using combinatorial optimization techniques combined to organizational knowledge of the virtual organization. Experiment numerical results show that OptiSource is a robust strategy that improves the precision and the recall of the source selection process. This paper presents the data and knowledge models, the definition of OptiSource, the related mathematical model, the prototype and an extensive experimental study.

Idioma originalInglés
Título de la publicación alojadaTransactions on Large-Scale Data- and Knowledge-Centered Systems III - Special Issue on Data and Knowledge Management in Grid and P2P Systems
Páginas138-166
Número de páginas29
DOI
EstadoPublicada - 2011
Evento3rd International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2010 - Bilbao, Espana
Duración: 01 sep. 201002 sep. 2010

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen6790 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia3rd International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2010
País/TerritorioEspana
CiudadBilbao
Período01/09/1002/09/10

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