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

doi:10.1109/ICDE.2017.23

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 proceeding › Conference proceeding contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017
Place of Publication	Los Alamitos, CA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	33-34
Number of pages	2
ISBN (Electronic)	9781509065431
DOIs	https://doi.org/10.1109/ICDE.2017.23
Publication status	Published - 2017
Externally published	Yes
Event	33rd IEEE International Conference on Data Engineering, ICDE 2017 - San Diego, United States Duration: 19 Apr 2017 → 22 Apr 2017

Publication series

Name	Proceedings - International Conference on Data Engineering
ISSN (Print)	1084-4627

Conference

Conference	33rd IEEE International Conference on Data Engineering, ICDE 2017
Country/Territory	United States
City	San Diego
Period	19/04/17 → 22/04/17

Access to Document

10.1109/ICDE.2017.23

Cite this

Gu, B., Li, Z., Zhang, X., Liu, A., Liu, G., Zheng, K., Zhao, L., & Zhou, X. (2017). The interaction between schema matching and record matching in data integration (Extended Abstract). In Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017 (pp. 33-34). (Proceedings - International Conference on Data Engineering). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICDE.2017.23

Gu, Binbin ; Li, Zhixu ; Zhang, Xiangliang et al. / The interaction between schema matching and record matching in data integration (Extended Abstract). Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. Los Alamitos, CA : Institute of Electrical and Electronics Engineers (IEEE), 2017. pp. 33-34 (Proceedings - International Conference on Data Engineering).

@inproceedings{327b5a9c61e944ca9406c53f4fa63105,

title = "The interaction between schema matching and record matching in data integration (Extended Abstract)",

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.",

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

year = "2017",

doi = "10.1109/ICDE.2017.23",

language = "English",

series = "Proceedings - International Conference on Data Engineering",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "33--34",

booktitle = "Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017",

address = "United States",

note = "33rd IEEE International Conference on Data Engineering, ICDE 2017 ; Conference date: 19-04-2017 Through 22-04-2017",

}

Gu, B, Li, Z, Zhang, X, Liu, A, Liu, G, Zheng, K, Zhao, L & Zhou, X 2017, The interaction between schema matching and record matching in data integration (Extended Abstract). in Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. Proceedings - International Conference on Data Engineering, Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, CA, pp. 33-34, 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, United States, 19/04/17. https://doi.org/10.1109/ICDE.2017.23

The interaction between schema matching and record matching in data integration (Extended Abstract). / Gu, Binbin; Li, Zhixu; Zhang, Xiangliang et al.
Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 33-34 (Proceedings - International Conference on Data Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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T1 - The interaction between schema matching and record matching in data integration (Extended Abstract)

AU - Gu, Binbin

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AU - Liu, Guanfeng

AU - Zheng, Kai

AU - Zhao, Lei

AU - Zhou, Xiaofang

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Y1 - 2017

N2 - 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.

AB - 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.

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M3 - Conference proceeding contribution

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T3 - Proceedings - International Conference on Data Engineering

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BT - Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Gu B, Li Z, Zhang X, Liu A, Liu G, Zheng K et al. The interaction between schema matching and record matching in data integration (Extended Abstract). In Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 33-34. (Proceedings - International Conference on Data Engineering). doi: 10.1109/ICDE.2017.23

The interaction between schema matching and record matching in data integration (Extended Abstract)

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