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dc.contributor.authorGu, Binbin
dc.contributor.authorLi, Zhixu
dc.contributor.authorZhang, Xiangliang
dc.contributor.authorLiu, An
dc.contributor.authorLiu, Guanfeng
dc.contributor.authorZheng, Kai
dc.contributor.authorZhao, Lei
dc.contributor.authorZhou, Xiaofang
dc.date.accessioned2017-06-04T06:30:50Z
dc.date.available2017-06-04T06:30:50Z
dc.date.issued2017-05-18
dc.identifier.citationGu B, Li Z, Zhang X, Liu A, Liu G, et al. (2017) The interaction between schema matching and record matching in data integration (extended abstract). 2017 IEEE 33rd International Conference on Data Engineering (ICDE). Available: http://dx.doi.org/10.1109/ICDE.2017.23.
dc.identifier.doi10.1109/ICDE.2017.23
dc.identifier.urihttp://hdl.handle.net/10754/624029
dc.description.abstractSchema Matching (SM) and Record Matching (RM) are two necessary steps in integrating multiple relational tables of different schemas, where SM unifies the schemas and RM detects records referring to the same real-world entity. The two processes have been thoroughly studied separately, but few attention has been paid to the interaction of SM and RM. In this work we find that, even alternating them in a simple manner, SM and RM can benefit from each other to reach a better integration performance (i.e., in terms of precision and recall). Therefore, combining SM and RM is a promising solution for improving data integration.
dc.description.sponsorshipThis research is partially supported by Natural Science Foundation of China (Grant No. 61402313, 61303019, 61472263, 61572336), the King Abdullah University of Science and Technology, the Australian Research Council (Grants No. DP120102829), the Postdoctoral scientific research funding of Jiangsu Province (No. 1501090B) and the National Postdoctoral Funding (No. 2015M581859, 2016T90493).
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7929919/
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
dc.subjectCameras
dc.subjectConferences
dc.subjectData integration
dc.subjectElectronic mail
dc.subjectMobile communication
dc.subjectRead only memory
dc.subjectSemantics
dc.titleThe interaction between schema matching and record matching in data integration (extended abstract)
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.identifier.journal2017 IEEE 33rd International Conference on Data Engineering (ICDE)
dc.eprint.versionPost-print
dc.contributor.institutionSoochow University, Suzhou, China
dc.contributor.institutionThe University of Queensland, Brisbane QLD 4072, Australia
kaust.personZhang, Xiangliang
refterms.dateFOA2018-06-13T17:57:38Z
dc.date.published-online2017-05-18
dc.date.published-print2017-04


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