Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 1
169-174

Research on schema-agnostic entity resolution based on undirected block weighted graph

Yang Ning
Lu Jing
Shao Qing
Liu Cong
School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2019.09.0526

Abstract

The blocking approach ignored the weight of block keys and ambiguity between blocking keys, leading to low accuracy. This paper proposed a schema-agnostic entity resolution method based on undirected weighted graph. The method extracted attributes from data sources, combined attribute information entropy and TF-IDF to get clustering attributes and established an unified block scheme. Through the relationship between clustering attribute weight and block key, it gave each group of block key a certain weight. The weight and the cooccurrence frequency of the edge were multiplied and weighted to form the undirected block weighted graph. Finally, it used the pruning scheme to prune the edges. The problem of multi-attribute and block key ambiguity in data was solved and increased accuracy. Experiments on seven real data sets show that the method is effective and scalable.

Foundation Support

国家自然科学基金青年基金项目(61703278)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0526
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 1
Section: Algorithm Research & Explore
Pages: 169-174
Serial Number: 1001-3695(2021)01-034-0169-06

Publish History

[2021-01-05] Printed Article

Cite This Article

杨宁, 卢菁, 邵清, 等. 基于无向分块加权图的无模式实体识别方法研究 [J]. 计算机应用研究, 2021, 38 (1): 169-174. (Yang Ning, Lu Jing, Shao Qing, et al. Research on schema-agnostic entity resolution based on undirected block weighted graph [J]. Application Research of Computers, 2021, 38 (1): 169-174. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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