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Leveraging LLMs in Semantic Mapping for Knowledge Graph-based Automated Enterprise Model Generation

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

Automated 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.

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Reitemeyer, Benedikt; Fill, Hans-Georg (2024): Leveraging LLMs in Semantic Mapping for Knowledge Graph-based Automated Enterprise Model Generation. Modellierung 2024 Satellite Events. DOI: 10.18420/modellierung2024-ws-006. Gesellschaft für Informatik e.V.. LLM4Modeling. Potsdam. 12. - 15. März

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