The interaction between schema matching and record matching in data integration (extended abstract)

Handle URI:
http://hdl.handle.net/10754/624029
Title:
The interaction between schema matching and record matching in data integration (extended abstract)
Authors:
Gu, Binbin; Li, Zhixu; Zhang, Xiangliang ( 0000-0002-3574-5665 ) ; Liu, An; Liu, Guanfeng; Zheng, Kai; Zhao, Lei; Zhou, Xiaofang
Abstract:
Schema 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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer Science Program
Citation:
Gu 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.
Publisher:
IEEE
Journal:
2017 IEEE 33rd International Conference on Data Engineering (ICDE)
Issue Date:
18-May-2017
DOI:
10.1109/ICDE.2017.23
Type:
Conference Paper
Sponsors:
This 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).
Additional Links:
http://ieeexplore.ieee.org/document/7929919/
Appears in Collections:
Conference Papers; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorGu, Binbinen
dc.contributor.authorLi, Zhixuen
dc.contributor.authorZhang, Xiangliangen
dc.contributor.authorLiu, Anen
dc.contributor.authorLiu, Guanfengen
dc.contributor.authorZheng, Kaien
dc.contributor.authorZhao, Leien
dc.contributor.authorZhou, Xiaofangen
dc.date.accessioned2017-06-04T06:30:50Z-
dc.date.available2017-06-04T06:30:50Z-
dc.date.issued2017-05-18en
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.en
dc.identifier.doi10.1109/ICDE.2017.23en
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.en
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).en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7929919/en
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.en
dc.subjectCamerasen
dc.subjectConferencesen
dc.subjectData integrationen
dc.subjectElectronic mailen
dc.subjectMobile communicationen
dc.subjectRead only memoryen
dc.subjectSemanticsen
dc.titleThe interaction between schema matching and record matching in data integration (extended abstract)en
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentComputer Science Programen
dc.identifier.journal2017 IEEE 33rd International Conference on Data Engineering (ICDE)en
dc.eprint.versionPost-printen
dc.contributor.institutionSoochow University, Suzhou, Chinaen
dc.contributor.institutionThe University of Queensland, Brisbane QLD 4072, Australiaen
kaust.authorZhang, Xiangliangen
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