App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 4

Research on key technologies of domain application system generation based on cognitive map

Liu Yao1
Liu Tianji2
Gao Ziheng2
1. Engineering Center, Institute of Scientific and Technical Information of China, Beijing 100038, China
2. School of Software and Microelectronics, Peking University, Beijing 102600, China
DOI: 10.19734/j.issn.1001-3695.2025.06.0311

Abstract

The complexity and specialization of business knowledge create a high threshold for software development in the medical field. Although Large Language Models (LLMs) can generate code from prompts for simple requirements, their single-function nature and lack of domain characteristics make them inadequate for complex medical businesses. This paper, therefore, proposes a cognitive map-based scheme for generating domain-specific application systems. The proposed solution takes components as the minimum granularity, constructs a business cognitive map and a functional component library for the medical domain, and realizes the on-demand generation of medical business application systems in the cloud. Our work comprises two main parts: first, we analyzed hospital information services to extract business knowledge from system description documents, thereby building a medical business cognitive map to define system requirements and generation methods. Second, we built a bridge between business and code via text semantic normalization technology, which enables the on-demand generation of functional component code and sample medical business systems. Experimental results show that our method performs well in business phrase extraction and functional component recommendation, with an average coverage rate of 60% to 80%, confirming the scheme's effectiveness and superiority.

Foundation Support

国家社会科学基金资助项目(21BTQ011)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.06.0311
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 4

Publish History

[2025-12-19] Accepted Paper

Cite This Article

刘耀, 刘天吉, 高梓桁. 基于认知图谱的领域应用系统生成关键技术 [J]. 计算机应用研究, 2026, 43 (4). (2025-12-19). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0311. (Liu Yao, Liu Tianji, Gao Ziheng. Research on key technologies of domain application system generation based on cognitive map [J]. Application Research of Computers, 2026, 43 (4). (2025-12-19). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0311. )

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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