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Proposal for Developing an Official Guideline on Data Architecture Standardization: Integration and Communication of (Generated) Knowledge in a Knowledge Layer of a Data-Centric Architecture
Title:
Guideline for Integrating and Communicating (Generated) Knowledge in the Knowledge Layer of a Data-Centric Architecture
Introduction:
The automotive industry, along with many other sectors, is currently undergoing a significant shift from application-centric to data-centric architectures. In this context, the need for a Knowledge Layer as part of the architecture becomes increasingly evident. A Knowledge Layer enables the effective integration and communication of generated knowledge, or knowledge which is explicitly or implicitly hidden in data models or logic like rules. However, it is necessary to outline how such a Knowledge Layer can be defined and implemented in a data-centric architecture and the impact it has on architecture decisions.
Challenges:
When developing a data-centric architecture with a Knowledge Layer, the following aspects are of particular importance and should be considered in the guideline:
Proposal:
As part of our initiative for data architecture standardization, we propose developing a comprehensive guideline that addresses the integration and communication of generated knowledge in the Knowledge Layer of a data-centric architecture. This guideline aims to provide practical guidelines and cover the following aspects:
Definition and design of the Knowledge Layer:
Handling and communication of knowledge:
Implications on architecture decisions:
Goal:
Through this guideline, we aim to provide architects, data experts, and industry decision-makers with a comprehensive foundation to enhance the handling of generated knowledge in the Knowledge Layer of a data-centric architecture and understand its impact on architecture decisions.