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dc.contributor.authorNguyen, Quoc Viet Hung
dc.contributor.authorNguyen, Thanh Tam
dc.contributor.authorMiklos, Zoltan
dc.contributor.authorAberer, Karl
dc.contributor.authorGal, Avigdor
dc.contributor.authorWeidlich, Matthias
dc.contributor.editorGabriel Ghinita, Ali Inan
dc.date.accessioned2021-07-15T04:26:07Z
dc.date.available2021-07-15T04:26:07Z
dc.date.issued2014
dc.identifier.doi10.1109/ICDE.2014.6816653
dc.identifier.urihttp://hdl.handle.net/10072/370179
dc.description.abstractSchema matching is the process of establishing correspondences between the attributes of database schemas for data integration purposes. Although several automatic schema matching tools have been developed, their results are often incomplete or erroneous. To obtain a correct set of correspondences, a human expert is usually required to validate the generated correspondences. We analyze this reconciliation process in a setting where a number of schemas needs to be matched, in the presence of consistency expectations about the network of attribute correspondences. We develop a probabilistic model that helps to identify the most uncertain correspondences, thus allowing us to guide the expert's work and collect his input about the most problematic cases. As the availability of such experts is often limited, we develop techniques that can construct a set of good quality correspondences with a high probability, even if the expert does not validate all the necessary correspondences. We demonstrate the efficiency of our techniques through extensive experimentation using real-world datasets.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencenameICDE 2014
dc.relation.ispartofconferencetitleProceedings of the 2014 IEEE 30th International Conference on Data Engineering
dc.relation.ispartofdatefrom2014-03-31
dc.relation.ispartofdateto2014-04-04
dc.relation.ispartoflocationChicago, IL, United States
dc.subject.fieldofresearchDatabase systems
dc.subject.fieldofresearchcode460505
dc.titlePay-as-you-go reconciliation in schema matching networks
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.hasfulltextFull Text
gro.griffith.authorNguyen, Henry
gro.griffith.authorNguyen, Thanh Tam


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