Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 4
1044-1051

Entity alignment method for tourism domain based on multi-view knowledge representation and neural network

Liu Lua,b,c
Bao Feilonga,b,c
Gao Guanglaia,b,c
a. College of Computer Science, b. National & Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian, c. Inner Mongolia Key Laboratory of Mongolian Information Processing Technology, Inner Mongolia University, Hohhot 010021, China
DOI: 10.19734/j.issn.1001-3695.2022.08.0434

Abstract

Aiming at the problems of too many long-tail entities and existing knowledge and the scarcity of labeled data in the current entity alignment tasks in the tourism domain, this paper proposed an entity alignment method based on the combination of multi-view knowledge representation and neural network. It used a pre-trained model to complete the knowledge representation learning of multiple views, obtained the structural embedding, relationship embedding and description information embedding of the entity, and then used the convolutional neural network to calculate the similarity of the comprehensive embedding of the entities combined with the three views. The experimental accuracy rate reached 91.4%, the recall rate reached 87.9%, and the comprehensive index F1value reached 89.6%. The results show that the method effectively completes the entity alignment task in the tourism domain.

Foundation Support

国家重点研发计划资助项目(2018YFE0122900)
国家自然科学基金资助项目(62066033)
内蒙古自治区成果转化资助项目(2019CG028)
内蒙古自治区应用技术研究与开发资助项目(2019GG372,2020GG0046,2021GG0158,2020PT0002)
内蒙古大学青年科技英才培育项目(21221505)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.08.0434
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Algorithm Research & Explore
Pages: 1044-1051
Serial Number: 1001-3695(2023)04-014-1044-08

Publish History

[2022-11-08] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

刘璐, 飞龙, 高光来. 基于多视图知识表示和神经网络的旅游领域实体对齐方法 [J]. 计算机应用研究, 2023, 40 (4): 1044-1051. (Liu Lu, Bao Feilong, Gao Guanglai. Entity alignment method for tourism domain based on multi-view knowledge representation and neural network [J]. Application Research of Computers, 2023, 40 (4): 1044-1051. )

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  • 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.

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