Rule-based entity resolution on database with hidden temporal information (Extended Abstract)

Hongzhi Wang; Xiaoou Ding; Jianzhong Li; Hong Gao

doi:10.1109/ICDE.2019.00266

Rule-based entity resolution on database with hidden temporal information (Extended Abstract)

Hongzhi Wang
, Xiaoou Ding
, Jianzhong Li
, Hong Gao

School of Computer Science and Technology, Harbin Institute of Technology

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

Abstract

In this paper, we deal with the problem of rule-based entity resolution on imprecise temporal data. We use record matching dependencies and data currency constraints to derive temporal records' information and trend of their attributes' evolvement with elapsing of time. We firstly block records into smaller blocks, and then by exploring data currency constraints. We propose a temporal clustering approach with two steps, i.e., the skeleton clustering and the banding clustering. Experiments show that our method achieves both high accuracy and efficiency with hidden temporal information on datasets without imprecise timestamps.

Original language	English
Title of host publication	Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019
Publisher	IEEE Computer Society
Pages	2143-2144
Number of pages	2
ISBN (Electronic)	9781538674741
DOIs	https://doi.org/10.1109/ICDE.2019.00266
State	Published - Apr 2019
Externally published	Yes
Event	35th IEEE International Conference on Data Engineering, ICDE 2019 - Macau, China Duration: 8 Apr 2019 → 11 Apr 2019

Publication series

Name	Proceedings - International Conference on Data Engineering
Volume	2019-April
ISSN (Print)	1084-4627

Conference

Conference	35th IEEE International Conference on Data Engineering, ICDE 2019
Country/Territory	China
City	Macau
Period	8/04/19 → 11/04/19

Keywords

Attribute evolvement
Dynamic weight schema
Entity resolution
Imprecise temporal data

Access to Document

10.1109/ICDE.2019.00266

Cite this

Wang, H., Ding, X., Li, J., & Gao, H. (2019). Rule-based entity resolution on database with hidden temporal information (Extended Abstract). In Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019 (pp. 2143-2144). Article 8731444 (Proceedings - International Conference on Data Engineering; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/ICDE.2019.00266

@inproceedings{e2986c2f97ad4962a7fdf499bb4602cc,

title = "Rule-based entity resolution on database with hidden temporal information (Extended Abstract)",

abstract = "In this paper, we deal with the problem of rule-based entity resolution on imprecise temporal data. We use record matching dependencies and data currency constraints to derive temporal records' information and trend of their attributes' evolvement with elapsing of time. We firstly block records into smaller blocks, and then by exploring data currency constraints. We propose a temporal clustering approach with two steps, i.e., the skeleton clustering and the banding clustering. Experiments show that our method achieves both high accuracy and efficiency with hidden temporal information on datasets without imprecise timestamps.",

keywords = "Attribute evolvement, Dynamic weight schema, Entity resolution, Imprecise temporal data",

author = "Hongzhi Wang and Xiaoou Ding and Jianzhong Li and Hong Gao",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 35th IEEE International Conference on Data Engineering, ICDE 2019 ; Conference date: 08-04-2019 Through 11-04-2019",

year = "2019",

month = apr,

doi = "10.1109/ICDE.2019.00266",

language = "英语",

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

publisher = "IEEE Computer Society",

pages = "2143--2144",

booktitle = "Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019",

address = "美国",

}

Wang, H , Ding, X, Li, J & Gao, H 2019, Rule-based entity resolution on database with hidden temporal information (Extended Abstract). in Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019., 8731444, Proceedings - International Conference on Data Engineering, vol. 2019-April, IEEE Computer Society, pp. 2143-2144, 35th IEEE International Conference on Data Engineering, ICDE 2019, Macau, China, 8/04/19. https://doi.org/10.1109/ICDE.2019.00266

Rule-based entity resolution on database with hidden temporal information (Extended Abstract). / Wang, Hongzhi ; Ding, Xiaoou; Li, Jianzhong et al.
Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. IEEE Computer Society, 2019. p. 2143-2144 8731444 (Proceedings - International Conference on Data Engineering; Vol. 2019-April).

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

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Y1 - 2019/4

N2 - In this paper, we deal with the problem of rule-based entity resolution on imprecise temporal data. We use record matching dependencies and data currency constraints to derive temporal records' information and trend of their attributes' evolvement with elapsing of time. We firstly block records into smaller blocks, and then by exploring data currency constraints. We propose a temporal clustering approach with two steps, i.e., the skeleton clustering and the banding clustering. Experiments show that our method achieves both high accuracy and efficiency with hidden temporal information on datasets without imprecise timestamps.

AB - In this paper, we deal with the problem of rule-based entity resolution on imprecise temporal data. We use record matching dependencies and data currency constraints to derive temporal records' information and trend of their attributes' evolvement with elapsing of time. We firstly block records into smaller blocks, and then by exploring data currency constraints. We propose a temporal clustering approach with two steps, i.e., the skeleton clustering and the banding clustering. Experiments show that our method achieves both high accuracy and efficiency with hidden temporal information on datasets without imprecise timestamps.

KW - Attribute evolvement

KW - Dynamic weight schema

KW - Entity resolution

KW - Imprecise temporal data

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DO - 10.1109/ICDE.2019.00266

M3 - 会议稿件

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T3 - Proceedings - International Conference on Data Engineering

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BT - Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019

PB - IEEE Computer Society

T2 - 35th IEEE International Conference on Data Engineering, ICDE 2019

Y2 - 8 April 2019 through 11 April 2019

ER -

Rule-based entity resolution on database with hidden temporal information (Extended Abstract)

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