Knowledge Based Query Processing in Large Scale Virtual Organizations

Alexandra Pomares 1 Claudia Roncancio 2 José Abásolo 3 María Pilar Villamil
1 SIGMA
LIG - Laboratoire d'Informatique de Grenoble, Universidad de los Andes, Pontificia Universidad Javeriana
2 SIGMA
LIG - Laboratoire d'Informatique de Grenoble
Abstract : This work concerns query processing to support data sharing in large scale Virtual Organizations(VO). Characterization of VO's data sharing contexts reflects the coexistence of factors like sources overlapping, uncertain data location, and fuzzy copies in dynamic large scale environments that hinder query processing. Existing results on distributed query evaluation are useful for VOs, but there is no appropriate solution combining high semantic level and dynamic large scale environments required by VOs. This paper proposes a characterization of VOs data sources, called Data Profile, and a query processing strategy (called QPro2e) for large scale VOs with complex data profiles. QPro2e uses an evolving distributed knowledge base describing data sources roles w.r.t shared domain concepts. It allows the identification of logical data source clusters which improve query evaluation in presence of a very large number of data sources.
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Chapitre d'ouvrage
Filipe, Joaquim and Cordeiro, José. Enterprise Information Systems, 24, Springer Berlin Heidelberg, pp.208-219, 2009, Lecture Notes in Business Information Processing, 978-3-642-01346-1. 〈10.1007/978-3-642-01347-8_18〉
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https://hal.inria.fr/hal-00953018
Contributeur : Sophie Dupuy-Chessa <>
Soumis le : vendredi 28 février 2014 - 10:13:29
Dernière modification le : jeudi 11 janvier 2018 - 06:27:13

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Alexandra Pomares, Claudia Roncancio, José Abásolo, María Pilar Villamil. Knowledge Based Query Processing in Large Scale Virtual Organizations. Filipe, Joaquim and Cordeiro, José. Enterprise Information Systems, 24, Springer Berlin Heidelberg, pp.208-219, 2009, Lecture Notes in Business Information Processing, 978-3-642-01346-1. 〈10.1007/978-3-642-01347-8_18〉. 〈hal-00953018〉

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