Knowledge Tree
enterprise modeling
Also known as: Enterprise modelling
Facts (15)
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Applying Large Language Models in Knowledge Graph-based ... arxiv.org Jan 7, 2025 15 facts
claimFill et al. concluded that Large Language Models show potential for supporting enterprise modeling tasks, but require improvements in evaluation, the selection of appropriate modeling languages and notations, and the management of trade-offs between open-source and commercial models.
claimEnterprise modeling processes are often time-consuming, involve multiple stakeholders, utilize diverse concepts and relationships, and are conducted at a fast pace, which can lead to models becoming outdated quickly.
claimLarge Language Models (LLMs) have demonstrated improvements in enterprise modeling and semantic concept mapping.
claimThe authors of the paper 'Applying Large Language Models in Knowledge Graph-based Enterprise Modeling' conclude that relying solely on large language models for enterprise modeling without human input is inadvisable, as the experimental use cases were simplified compared to real-world scenarios.
referenceK. Sandkuhl, H. Fill, S. Hoppenbrouwers, J. Krogstie, F. Matthes, A.L. Opdahl, G. Schwabe, Ö. Uludag, and R. Winter published 'From expert discipline to common practice: A vision and research agenda for extending the reach of enterprise modeling' in Business & Information Systems Engineering.
claimEnterprise modeling is a sub-discipline of language-based conceptual modeling that relies on formal syntax, defined as a grammar consisting of symbols and rules for their combination.
claimSemantics in enterprise modeling can be classified into type semantics, which refers to the meaning of the elements of the modeling language (e.g., the concept of capabilities in business capability models), and inherent semantics, which refers to the meaning assigned at the time of instantiation.
referenceF.B. Vernadat published 'Enterprise modelling: Research review and outlook' in the journal Computers in Industry.
referenceFill et al. conducted experiments investigating the capabilities of Large Language Models in the creation and interpretation of models within enterprise contexts, specifically business process, systems, and data modeling.
claimEnterprise modeling aims to visualize and formally represent enterprise structures and behaviors, including actors and their roles, business processes, information system landscapes, and application structures.
claimSemantics in enterprise modeling is defined as a mapping between elements of the grammar and a semantic domain.
claimIndustrial tools such as ADONIS and SAP Signavio have integrated LLM-based artificial intelligence assistants to support enterprise modeling activities.
referenceBarn et al. developed a prompt engineering meta-model for the 4EM method, which includes domain concepts and modeling language elements, to enable prompt-based interactions in enterprise modeling.
referenceFill (2020) published 'Enterprise modeling: from digital transformation to digital ubiquity' in the 15th Conference on Computer Science and Information Systems (FedCSIS), exploring the transition of enterprise modeling in the context of digital transformation.
claimLarge Language Models (LLMs) have transitioned from being a subject of academic research to being utilized in industrial applications for enterprise modeling.