Towards Data Awareness by Socio-technological Knowledge Management

Alexander Heußner, Moritz Höser, Sven Ziemer


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.


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