Reitemeyer, BenediktFill, Hans-GeorgGiese, HolgerRosenthalKristina2024-03-122024-03-122024https://dl.gi.de/handle/20.500.12116/43780Automated enterprise model generation applies artificial intelligence and other machine- processable approaches to improve decision making and adoption in complex and changing en- vironments. The emergence of Large Language Models (LLMs) opens a new playing field for machine-processability in enterprise modeling, especially when it comes to processing natural lan- guage contextual knowledge. In this extended abstract, we show the use of LLMs in semantic mapping tasks for real-world and modeling language concepts based on an ArchiMate and National Information Exchange Model (NIEM) example. The results indicate that LLMs are useful in automated enterprise modeling tasks.enEnterprise ModelingLarge Language ModelsSemantic MappingText/Workshop Paper10.18420/modellierung2024-ws-006