Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 4
1008-1012

Entity similarity based knowledge graph embedding

Wen Yang
Zhang Maoyuan
Zhou Liquan
Zhang Jieqiong
Yuan Xianqi
School of Computer, Central China Normal University, Wuhan 430079, China
DOI: 10.19734/j.issn.1001-3695.2020.05.0119

Abstract

Knowledge representation learning aims to represent the entities and relationships in the knowledge graph as low-dimensional dense real-valued vectors, which can effectively alleviate the data sparsity of the knowledge graph and significantly improve the calculation efficiency. However, most existing knowledge representation learning methods only treat entities as an integral part of triples, and do not consider the characteristics of entities themselves, such as entity similarity. In order to strengthen the semantic expression of embedded vectors, this paper proposed a representation learning method SimE based on entity similarity. The method first used the structural domain of the entity to measure the similarity of the entity, and then combined the similarity of the entity and the Laplace feature map as a constraint of the representation learning method based on the fact of triples to form a joint representation. Experimental results show that the method is close to the best method currently in tasks such as link prediction and triple classification.

Foundation Support

国家语委科研项目(YB135-40)
中央高校基本科研业务费专项资金资助项目(CCNU19TS019)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.05.0119
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 4
Section: Algorithm Research & Explore
Pages: 1008-1012
Serial Number: 1001-3695(2021)04-008-1008-05

Publish History

[2021-04-05] Printed Article

Cite This Article

文洋, 张茂元, 周礼全, 等. 基于实体相似性的知识表示学习方法 [J]. 计算机应用研究, 2021, 38 (4): 1008-1012. (Wen Yang, Zhang Maoyuan, Zhou Liquan, et al. Entity similarity based knowledge graph embedding [J]. Application Research of Computers, 2021, 38 (4): 1008-1012. )

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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