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2020 | OriginalPaper | Chapter

Towards a Reference Model for Knowledge Driven Data Provision Processes

Authors : Wei Min Wang, Maurice Preidel, Bernd Fachbach, Rainer Stark

Published in: Boosting Collaborative Networks 4.0

Publisher: Springer International Publishing

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Abstract

Value creation in most business areas takes place in networks that involve a wide range of stakeholders from various disciplines within and beyond company borders. Collaboration in such networks require the exchange of knowledge that is manifested in digital artefacts and consequently in data. As the utilization of that “hidden” knowledge has become increasingly important, the provision of relevant data in sufficient quality has also become crucial. This article proposes a reference model for knowledge driven data provision processes that is developed within a research project at the Virtual Vehicle Research GmbH for a future networked engineering environment. It describes a systematic process to drive operationalization of data provision from knowledge requirements to identify, extract and provide raw data until the application of such data sets. Still, the model in its current state is only applicable by descriptive means and needs further development and validation in practical use cases.

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Title: Towards a Reference Model for Knowledge Driven Data Provision Processes
Authors: Wei Min Wang
Maurice Preidel
Bernd Fachbach
Rainer Stark
Publisher: Springer International Publishing
Book: Boosting Collaborative Networks 4.0
Print ISBN: 978-3-030-62411-8

Electronic ISBN: 978-3-030-62412-5

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-62412-5_10

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