Knowledge Tree
Relations (1)
related 2.58 — strongly supporting 5 facts
Large Language Models are increasingly applied to enterprise modeling tasks, as evidenced by their transition into industrial applications [1] and their demonstrated utility in semantic concept mapping [2]. Research by Fill et al. highlights both the potential of these models to support enterprise modeling {fact:3, fact:5} and the necessity of human oversight when applying them to complex real-world scenarios [3].
Facts (5)
Sources
Applying Large Language Models in Knowledge Graph-based ... arxiv.org 5 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.
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.
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.
claimLarge Language Models (LLMs) have transitioned from being a subject of academic research to being utilized in industrial applications for enterprise modeling.