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Knowledge management acquisition improvement by using software engineering elicitation techniques

机译:通过使用软件工程启发技术改进知识管理知识

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The knowledge externalization phase involves acquiring and transferring the knowledge of individuals to an abstract and effective representation, to organize it, to model it and finally to express this knowledge in an understandable and reusable format. This phase presents some difficulties at the moment to choose the technique that best fit with the knowledge type to be elicited, and sometimes the selected technique is not complete enough to capture all the relevant knowledge for a specific domain. In sum, there are not mechanisms that can be used as a discernment element at the moment to choose the knowledge elicitation technique that better adjust to a particular situation. This paper presents the results obtained from an empirical validation developed to determine the efficiency of knowledge acquisition in the externalization phase of Nonaka's model, using a set of software engineering elicitation techniques. Efficiency compared with quality of the knowledge acquired can provide a good mechanism to select the most suitable technique to knowledge externalization for each situation.
机译:知识外部化阶段包括获取和转让个人知识到抽象有效的表示形式,对其进行组织,对其进行建模,最后以可理解和可重用的格式表达此知识。此阶段目前在选择最适合要获取的知识类型的技术方面存在一些困难,并且有时所选技术不够完整,无法捕获特定领域的所有相关知识。总而言之,目前尚没有可以用作识别元素的机制来选择可以更好地适应特定情况的知识启发技术。本文介绍了从经验验证中获得的结果,该经验验证是使用一组软件工程启发技术开发的,用于确定Nonaka模型的外部化阶段中知识获取的效率。与获取的知识的质量相比,效率可以提供一种良好的机制,可以针对每种情况选择最合适的技术来进行知识外部化。

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