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

Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish (US)
Title of host publication2017 IEEE 33rd International Conference on Data Engineering (ICDE)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages2
ISBN (Print)9781509065431
StatePublished - May 18 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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).


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