The interaction between schema matching and record matching in data integration (extended abstract)
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionComputer Science Program
Date
2017-05-18Online Publication Date
2017-05-18Print Publication Date
2017-04Permanent link to this record
http://hdl.handle.net/10754/624029
Metadata
Show full item recordAbstract
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.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.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/ae974a485f413a2113503eed53cd6c53
10.1109/ICDE.2017.23