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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 11

Optimization method for blockchain oriented to knowledge graph reasoning sharing

Xu Zhenbin1
Guo Rongxin1
Shi Yifan1
Huang Kai2
1. School of Engineering, Huaqiao University, Quanzhou Fujian 362000, China
2. Fujian Special Equipment Inspection & Research Institute (Quanzhou Branch), Quanzhou Fujian 362000, China
DOI: 10.19734/j.issn.1001-3695.2025.04.0103

Abstract

This paper studies the problem of insufficient knowledge completeness in the current blockchain-based knowledge sharing architecture and proposes a complete knowledge graph (KG) sharing method (CKGC) based on blockchain. By integrating blockchain with KG and introducing a reasoning mechanism, it prompts various industries to construct standards based on KG and create more accurate KGs, thereby enhancing the efficiency of knowledge utilization. The blockchain oracle is introduced to facilitate the interaction of reasoning information between on-chain and off-chain KGs. Meanwhile, a Schnorr signature algorithm based on a threshold mechanism is designed to improve the signature verification efficiency of the oracle when uploading KG reasoning results to the blockchain. A KG reasoning method based on large language models (LLM) is designed to improve KG, leveraging the semantic understanding ability of LLM to generate high-quality logical rules for KG reasoning and enhance the richness and accuracy of KG. Experimental results show that the Schnorr threshold signature algorithm improves the signature efficiency by 60% compared to the Schnorr aggregate signature algorithm. The KG reasoning method based on LLM is evaluated on three large KGs, confirming its effectiveness and advancement. The proposed CKGC scheme provides an efficient and trustworthy technical path for knowledge collaboration and sharing.

Foundation Support

国家自然科学基金青年项目(62306122)
福建省科技项目引导性项目(2023H0012)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.04.0103
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 11

Publish History

[2025-07-08] Accepted Paper

Cite This Article

许振彬, 郭荣新, 施一帆, 等. 面向知识图谱推理共享的区块链优化方法 [J]. 计算机应用研究, 2025, 42 (11). (2025-07-08). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0103. (Xu Zhenbin, Guo Rongxin, Shi Yifan, et al. Optimization method for blockchain oriented to knowledge graph reasoning sharing [J]. Application Research of Computers, 2025, 42 (11). (2025-07-08). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0103. )

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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