Towards Data Awareness by Socio-technological Knowledge Management

Alexander Heußner, Moritz Höser, Sven Ziemer
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Abstract

In today’s data-centric world, the data-awareness challenge is a crucial touchstone to existing knowledge management technologies. Adaptive, stakeholder-centric knowledge modelling approaches provide a solid ground to tackle this challenge and open the door to enrich knowledge management by a socio-technological perspective. This paper proposes the use of a socio-technological approach to overcome the data-awereness challenge by treating knowledge on data as a crucial business asset. Here, a data awareness generating, iterative, incremental knowledge elicitation technique based on a multi-perspective, multi-modal diagrammatic knowledge representation language serves as proof of concept.
通过社会技术知识管理实现数据意识
在当今以数据为中心的世界中,数据感知的挑战是对现有知识管理技术的关键试金石。自适应的、以利益相关者为中心的知识建模方法为应对这一挑战提供了坚实的基础,并为从社会技术角度丰富知识管理打开了大门。本文建议使用社会技术方法,通过将数据知识视为关键的商业资产来克服数据意识挑战。在这里,一种基于多角度、多模态图解知识表示语言的数据感知生成、迭代、增量知识激发技术作为概念证明。
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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