The Role of Artificial Intelligence in Managing Knowledge in a Data Mining Environment through Knowledge Reusability

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Abstract

Current research attempts to demonstrate the prospects of Artificial Intelligence (AI) for knowledge management and the resulting systems in a three-dimensional environment. We analytically examine underlying characteristics of knowledge management, such as knowledge sharing, application, and storage, in the context of tacit and explicit knowledge in a data mining environment. The crucial role of tact and explicit knowledge and its reusability, especially in a data mining environment, has been considered in present studies. It is believed that there is a need to develop a professional model incorporating Artificial Intelligence (AI) to benefit from knowledge management in companies, especially about tacit and explicit knowledge, and its reusability. The likely role of AI applications during various knowledge management processes and the benefits of AI for knowledge management systems that leverage tacit and explicit knowledge and knowledge reusability were highlighted
人工智能在数据挖掘环境中通过知识可重用性管理知识方面的作用
目前的研究试图在三维环境中展示人工智能(AI)在知识管理和由此产生的系统方面的前景。我们以数据挖掘环境中的隐性和显性知识为背景,分析研究了知识管理的基本特征,如知识共享、应用和存储。本研究考虑了隐性知识和显性知识的关键作用及其可重用性,尤其是在数据挖掘环境中。我们认为,有必要开发一种结合人工智能(AI)的专业模型,以便从公司的知识管理中获益,特别是关于隐性和显性知识及其可重用性的知识管理。研究强调了人工智能应用在各种知识管理过程中可能发挥的作用,以及人工智能对利用隐性和显性知识以及知识可重用性的知识管理系统的益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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