TY - GEN
T1 - Knowledge based query processing in large scale virtual organizations
AU - Pomares, Alexandra
AU - Roncancio, Claudia
AU - Abásolo, José
AU - Del Pilar Villamil, María
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Large scale query processing
KW - Ontologies
KW - Virtual organizations
UR - https://www.scopus.com/pages/publications/65949096659
U2 - 10.1007/978-3-642-01347-8_18
DO - 10.1007/978-3-642-01347-8_18
M3 - Conference contribution
AN - SCOPUS:65949096659
SN - 9783642013461
T3 - Lecture Notes in Business Information Processing
SP - 208
EP - 219
BT - Enterprise Information Systems - 11th International Conference, ICEIS 2009, Proceedings
PB - Springer Verlag
T2 - 11th International Conference on Enterprise Information Systems, ICEIS 2009
Y2 - 6 May 2009 through 10 May 2009
ER -