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This paper stems from a reflection on the state of the practice of the use of architecture knowledge especially within the Dutch public and semi-public sector. We have observed that publication of architecture knowledge in semantic wikis has helped organize the semi-structured nature of that knowledge as combinations of text and model elements, and has enabled sharing and connecting knowledge that typically lives within individual model repositories. Increasingly, however, we encounter the desire and need to make architectural knowledge break out of their isolated repositories. From several examples that illustrate this desire, this position paper argues that a next step in architecture knowledge management entails the use of linked data principles and techniques to construct an ‘Architecture Knowledge Graph’.

In response to the challenges associated with the adoption of distributed decision-making systems (DDMS) in the context of modern power grids, particularly concerning the integration of distributed energy resources (DER) and increasing demand, this research introduces an innovative framework grounded in Information and Communication Technology (ICT). The proposed framework aims to enhance DDMS by incorporating secure and standardized edge computing to streamline data retrieval and local computation, thereby achieving optimal efficiency. Through authentication, authorization, and data loss prevention measures, the proposed framework guarantees a secure data exchange. In addition, it integrates the Common Information Model (CIM) and an ontology to standardize the flow of data, improving interoperability in heterogeneous systems. This study provides a concise overview of the proposed architecture, emphasizing its adaptability and efficiency in addressing contemporary issues in DDMS. In addition, an illustrative use case will be investigated to demonstrate the potential of the proposed architecture and its intricate interactions.