Entity Linking using LLMs for Automated Product Carbon Footprint Estimation

• DOI: 10.48550/arxiv.2502.07418
• Publication Date: 2025-01-01
• Authors: Castle, Steffen; Schneider, Julian...; Hennig, Leonhard; Rehm, Georg
• Keywords: FOS: Computer and information sciences; Computer Science - Computation and Language; Computation and Language (cs.CL)

Growing concerns about climate change and sustainability are driving manufacturers to take significant steps toward reducing their carbon footprints. For these manufacturers, a first step towards this goal is to identify the environmental impact of the individual components of their products. We propose a system leveraging large language models (LLMs) to automatically map components from manufacturer Bills of Materials (BOMs) to Life Cycle Assessment (LCA) database entries by using LLMs to expand on available component information. Our approach reduces the need for manual data processing, paving the way for more accessible sustainability practices.