Dynamic source selection in large scale mediation systems

Alexandra Pomares, Claudia Roncancio, José Abásolo, Pilar Villamil

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper proposes ORS, an original strategy to reduce the number of data sources to access during query evaluation in large scale mediation systems. ORS proceeds first selecting sources using extensional (data) information to discard useless sources and then validates the intentional (schema) information that each one is able to provide. The first step is based on location queries on some "well chosen" data sources, that previously had made a consolidation integration effort. This paper proposes ORS to improve querying semantic virtual objects whose instances are distributed across numerous data sources. Cost analysis and implementation in a grid context are also presented.

Original languageEnglish
Title of host publicationData Management in Grid and Peer-to-Peer Systems - First International Conference, Globe 2008, Proceedings
Pages58-69
Number of pages12
DOIs
StatePublished - 2008
Externally publishedYes
Event1st International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2008 - Turin, Italy
Duration: 03 Sep 200803 Sep 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5187 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2008
Country/TerritoryItaly
CityTurin
Period03/09/0803/09/08

Keywords

  • Distributed source selection
  • Large scale data mediation
  • Source selection

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