Towards Effective Enterprise Knowledge Management through Fuzzy Semantics

Panos Alexopoulos, M. Wallace, Konstantinos Kafentzis, D. Askounis
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Abstract

Uncertainty and imprecision are inherent characteristics of human knowledge and their role in knowledge engineering and knowledge-based systems development has been extensively examined in the literature. However, when it comes to enterprise knowledge management, existence of corresponding frameworks that are able to address the issue of knowledge imprecision in a formal and comprehensive way is limited. With that mind, we present in this paper our work in progress on an integrated knowledge management framework that effectively deals with the above limitation through the utilization of fuzzy semantics.
通过模糊语义实现有效的企业知识管理
不确定性和不精确性是人类知识的固有特征,它们在知识工程和基于知识的系统开发中的作用已经在文献中得到了广泛的研究。然而,对于企业知识管理而言,能够正式而全面地解决知识不精确问题的相应框架却十分有限。考虑到这一点,我们在本文中介绍了我们正在进行的集成知识管理框架的工作,该框架通过使用模糊语义有效地处理上述限制。
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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