Special Topic on Natural Language Processing
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59-64

Adaptive knowledge representation method based on rotation and translation in 3D space

Li Zimao1,2
Tang Xianyi1,2
Yin Fan1,3
Wang Can1,2
Jiang Hai1,3
1. College of Computer Science, South-Central Minzu University, Wuhan 430074, China
2. Hubei Provincial Engineering Research Center of Agricultural Blockchain & Intelligent Management, Wuhan 430074, China
3. Hubei Provincial Engineering Research Center for Intelligent Management of Manufacturing Enterprises, Wuhan 430074, China

Abstract

The existing knowledge graph representation learning studies generally suffer from the problems of neglecting the semantic space of specific relations, or difficulty in modeling non-injective complex relations, or difficulty in modeling multiple relation patterns, especially poor performance on two relation patterns of non-commutative combinations as well as subrelations. To address this problem, based on the adaptive projection of entities, this paper proposed a new model with strong representation ability, called ATR3DKRL. By extending the rotation operation from 2D to 3D using the Rodrigues' rotation formula with translation optimization, it could be demonstrated through theoretical derivation that the model could model non-injective complex relationships and multiple relation patterns. The experimental results on several generic datasets show that the model can effectively improve link prediction accuracy, leading existing baseline models in four metrics in dataset DB100K and FB15K-237. Comparing to the baseline model RotatE on the evaluation indicators MRR and H@1 in DB100K, it can significantly increase by 3.3% and 6.5%.

Foundation Support

国家民委中青年英才培养计划资助项目(MZR20007)
新疆维吾尔自治区区域协同创新专项(科技援疆计划)(2022E02035)
武汉市知识创新专项曙光计划资助项目(SZY23003)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.05.0282
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: Special Topic on Natural Language Processing
Pages: 59-64
Serial Number: 1001-3695(2024)01-009-0059-06

Publish History

[2024-01-05] Printed Article

Cite This Article

李子茂, 汤先毅, 尹帆, 等. 基于三维空间旋转平移的自适应知识表示方法 [J]. 计算机应用研究, 2024, 41 (1): 59-64. (Li Zimao, Tang Xianyi, Yin Fan, et al. Adaptive knowledge representation method based on rotation and translation in 3D space [J]. Application Research of Computers, 2024, 41 (1): 59-64. )

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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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