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Algorithm Research & Explore
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3286-3289,3343

Entity alignment for encyclopedia knowledge base based on topic model

Liu Zhenpenga,b
He Mengjiea
Zhang Binb
Dong Jinga
Xu Jianminc
a. College of Electronic Information Engineering, b. Information Technology Center, c. School of Cyber Security & Computer, Hebei University, Baoding Hebei 071002, China

Abstract

Aiming at the problem that traditional entity alignment method could not reflect latent semantic information, this paper optimized it, making the effect of entity alignment more significant. It used the LDA model to model the unstructured data of the network encyclopedia, and adopted the improved BP algorithm to solve the hidden parameters of LDA model, in turn, generated entity eigenvectors to perform similarity calculation. Finally, through calculation results could determine whether alignment. The experimental results show that, through comparing with three kinds of traditional algorithms, the proposed algorithm increases the three-evaluation index that above precision, recall and F-score. Aiming at the network encyclopedia entity with description information, the algorithm can effectively improve the entity alignment effect.

Foundation Support

河北省自然科学基金资助项目(2015201142)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0305
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3286-3289,3343
Serial Number: 1001-3695(2019)11-019-3286-04

Publish History

[2019-11-05] Printed Article

Cite This Article

刘振鹏, 贺梦洁, 张彬, 等. 基于主题模型的百科知识库实体对齐 [J]. 计算机应用研究, 2019, 36 (11): 3286-3289,3343. (Liu Zhenpeng, He Mengjie, Zhang Bin, et al. Entity alignment for encyclopedia knowledge base based on topic model [J]. Application Research of Computers, 2019, 36 (11): 3286-3289,3343. )

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.

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