Glaser, P.-L., Ali, S. J., Sallinger, E., & Bork, D. (2022). Model-Based Construction of Enterprise Architecture Knowledge Graphs. In Enterprise Design, Operations, and Computing. 26th International Conference, {EDOC} 2022, Bozen-Bolzano, Italy, October 3-7, 2022, Proceedings (pp. 57–73). Springer. https://doi.org/10.34726/3068
Enterprise Architecture offers guidelines for the coherent, model-based design and management of enterprises. EA models provide a layered, integrated, and cohesive representation of the enterprise, enabling communication, analysis, and decision making. With the increasing size of EA models, automated analysis becomes essential. However, advanced model analysis is neither incorporated in current EA methods like ArchiMate nor supported by existing EA tools like Archi. Knowledge Graphs (KGs) can effectively organize and represent knowledge and enable reasoning to utilize this knowledge, e.g., for decision support. This paper introduces a model-based Enterprise Architecture Knowledge Graph (EAKG) construction method and shows how starting from ArchiMate models, an initially derived EAKG can be further enriched by EA-specific and graph characteristics-based knowledge. The introduced EAKG entails new representation and reasoning methods applicable to EA knowledge. As a proof of concept, we present the results of a first Design Science Research Cycle aiming to realize an Archi plugin for the EAKG that enables analysis of EA Smells within ArchiMate models.
en
Research facilities:
Pilotfabrik
-
Project title:
Digital Platform Enterprise: 2021-1-RO01-KA220-HED-000027576 (European Commission)
-
Project (external):
Austrian Research Promotion Agency (FFG)
-
Project ID:
854187
-
Research Areas:
Information Systems Engineering: 80% Modeling and Simulation: 10% Computational System Design: 10%
