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dc.contributor.authorAcar, A.C.en_US
dc.contributor.authorMotro, A.en_US
dc.date.accessioned2016-02-08T10:00:25Z
dc.date.available2016-02-08T10:00:25Z
dc.date.issued2010en_US
dc.identifier.issn1860949X
dc.identifier.urihttp://hdl.handle.net/11693/22459
dc.description.abstractLoosely coupled data integration among networked sources has become so ubiquitous over the recent years that many of the services and applications used daily are actually not monolithic information systems but rather collections of sources tied together. Instead of building centralized and large data sources (i.e., the Extract- Transform-Load method), many organizations and individuals are opting for a virtual database approach. Especially along with the advent of service-oriented architectures, it has become very easy to leave data in its original source and to instead recruit the service provided by that source as needed. This structure is seen in a variety of scenarios such as hybrid web applications (mash-ups), enterprise information integration models, aggregation services and federated information retrieval systems. Furthermore, individual users are often forced to procure and assemble the information they need from sources distributed across a network. © 2010 Springer-Verlag Berlin Heidelberg.en_US
dc.language.isoEnglishen_US
dc.source.titleStudies in Computational Intelligenceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-642-05183-8_9en_US
dc.titleInferring user goals from sets of independent queries in a multidatabase environmenten_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage225en_US
dc.citation.epage243en_US
dc.citation.volumeNumber265en_US
dc.identifier.doi10.1007/978-3-642-05183-8_9en_US


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