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

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Datum

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.

Beschreibung

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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