AI-KM: A distributed multi-view and intelligent knowledge management software

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING SoftwareX Pub Date : 2024-08-08 DOI:10.1016/j.softx.2024.101840

Haolin Wen , Songyi Wang , Chaoyu Jiang , Fan Zhang , Jing Li , Xing Luo

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Abstract

To enhances the security, usability, and intelligence of knowledge management software, this paper develops a novel knowledge management application built upon the Electron cross-platform desktop development framework, Vue JavaScript Framework, and large language models. The software boasts distributed deployment, multi-view information management, and intelligent interaction capabilities. Through distributed deployment, it diversifies the sharing format of information within organizations, effectively addressing conflicts between data security and sharing. The multi-view functionality improves the effectiveness of knowledge presentation, while the large language model facilitates intelligent and natural knowledge querying and application. Finally, illustrative examples from diverse domains such as project management, education, and military applications are utilized to demonstrate the practical utility of the software. Users can significantly enhance the integration and intelligence of knowledge management through this software.

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AI-KM：分布式多视角智能知识管理软件

为了提高知识管理软件的安全性、可用性和智能性，本文基于 Electron 跨平台桌面开发框架、Vue JavaScript 框架和大型语言模型，开发了一种新型知识管理应用程序。该软件具有分布式部署、多视图信息管理和智能交互功能。通过分布式部署，它实现了组织内部信息共享形式的多样化，有效解决了数据安全与共享之间的矛盾。多视图功能提高了知识呈现的有效性，而大语言模型则方便了智能、自然的知识查询和应用。最后，还利用项目管理、教育和军事应用等不同领域的示例，展示了该软件的实用性。用户可以通过该软件大大提高知识管理的集成度和智能化程度。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.