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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 1
64-69,79

Entity alignment method based on dual attention and relational semantic modeling

Zhao Dan
Zhang Jun
School of Information Science & Technology, Dalian Maritime University, Dalian Liaoning 116026, China
DOI: 10.19734/j.issn.1001-3695.2021.04.0169

Abstract

The goal of the entity alignment task is to find more equivalent entity pairs in the knowledge graph. At present, some entity alignment methods focus on entity structure and attribute information, but they do not deal with the problem of interactive learning between the two. To this end, this paper proposed an entity alignment method based on dual attention and relational semantic modeling. It used dual attention to learn the interactive features of entity attributes and structure based on attribute classification embedding, and used relational semantic modeling to optimize local semantics of entity structure embedding. Finally, this paper fused the similarity matrix under the entity's multi-faceted semantic features. The alignment accuracy on the three real data sets can reach 81.00%, 83.90% and 92.73%, respectively, which is an average improvement of 2.62% compared with the benchmark model. The experimental results show that the proposed method can effectively identify aligned entity pairs.

Foundation Support

国家自然科学基金资助项目(61976032)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0169
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 1
Section: Algorithm Research & Explore
Pages: 64-69,79
Serial Number: 1001-3695(2022)01-011-0064-06

Publish History

[2022-01-05] Printed Article

Cite This Article

赵丹, 张俊. 基于双重注意力和关系语义建模的实体对齐方法 [J]. 计算机应用研究, 2022, 39 (1): 64-69,79. (Zhao Dan, Zhang Jun. Entity alignment method based on dual attention and relational semantic modeling [J]. Application Research of Computers, 2022, 39 (1): 64-69,79. )

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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