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Preface

机译:前言

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摘要

Knowledge is still one of intangible capitals that influence the performance of organizations and their capacity to innovate. From the very beginning the Knowledge Management (KM) movement initiated in the last century has proposed various approaches focused on supporting enterprises including nonprofit organizations. Traditionally, knowledge gathering, knowledge modeling, and knowledge applications (i.e., knowledge processing) are the main topics essential in KM endeavors. It seems reasonable to join this stream with methods and solutions offered by both symbolic and computational intelligence; we often need to combine both for the best results.
机译:知识仍然是影响组织绩效和创新能力的无形资产之一。从上个世纪开始的知识管理(KM)运动从一开始就提出了各种旨在支持包括非营利组织在内的企业的方法。传统上,知识收集,知识建模和知识应用(即知识处理)是知识管理工作中必不可少的主要主题。将这种流与符号和计算智能所提供的方法和解决方案结合在一起似乎是合理的。我们常常需要将两者结合起来以获得最佳效果。

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