[2603.20094] LLM-Enhanced Semantic Data Integration of Electronic Component Qualifications in the Aerospace Domain

Computer Science > Information Retrieval arXiv:2603.20094 (cs) [Submitted on 20 Mar 2026] Title:LLM-Enhanced Semantic Data Integration of Electronic Component Qualifications in the Aerospace Domain Authors:Antonio De Santis, Marco Balduini, Matteo Belcao, Andrea Proia, Marco Brambilla, Emanuele Della Valle View a PDF of the paper titled LLM-Enhanced Semantic Data Integration of Electronic Component Qualifications in the Aerospace Domain, by Antonio De Santis and 4 other authors View PDF HTML (experimental) Abstract:Large manufacturing companies face challenges in information retrieval due to data silos maintained by different departments, leading to inconsistencies and misalignment across databases. This paper presents an experience in integrating and retrieving qualification data for electronic components used in satellite board design. Due to data silos, designers cannot immediately determine the qualification status of individual components. However, this process is critical during the planning phase, when assembly drawings are issued before production, to optimize new qualifications and avoid redundant efforts. To address this, we propose a pipeline that uses Virtual Knowledge Graphs for a unified view over heterogeneous data sources and LLMs to enhance retrieval and reduce manual effort in data cleansing. The retrieval of qualifications is then performed through an Ontology-based Data Access approach for structured queries and a vector search mechanism for retrieving ...