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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 9

Query rewriting model based on knowledge graph construction and entity correction

Deng Peichen
Hei Yonghua
Wei Bingsheng
Feng Shiyu
Wan Yuan
School of Mathematics & Statistics, Wuhan University of Technology, Wuhan 430070, China
DOI: 10.19734/j.issn.1001-3695.2025.03.0041

Abstract

This study addresses the problem of entity errors in query of AI dialogue systems, which often lead to dialogue friction. The existing query rewriting model based on knowledge graph lacks self-learning ability and has poor cross-domain adaptability in professional domain. To address the above problems, a query rewriting model based on knowledge graph construction and entity correction (QR-KGCEC) is proposed. The model dynamically constructs dialogue-specific knowledge graphs by using historical dialogue information to correct entity errors. It combines an error span detection module and a correct entity prediction module to improve query rewriting accuracy. A self-learning mechanism is introduced to continuously update the knowledge graph and optimize entity prediction during dialogue, enhancing adaptability to new entities and cross-domain scenarios. Experimental results show that QR-KGCEC significantly outperforms existing models such as KG-ECO and gUFS-QR. Specifically, it improves the correct trigger rate by 159.8% on the New York Times dataset and by 131% on the NewsKG21 dataset. Ablation experiments further demonstrate the effectiveness of each model component and the overall performance improvements.

Foundation Support

湖北省大学生创新创业训练计划资助项目(S202410497166)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.03.0041
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 9

Publish History

[2025-05-21] Accepted Paper

Cite This Article

邓佩晨, 黑永桦, 魏炳生, 等. 基于知识图谱构建和实体校正的查询重写模型 [J]. 计算机应用研究, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0041. (Deng Peichen, Hei Yonghua, Wei Bingsheng, et al. Query rewriting model based on knowledge graph construction and entity correction [J]. Application Research of Computers, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0041. )

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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