Semi-Automated Knowledge Engineering and Process Mapping for Total Airport Management

ArXi:2603.26076v1 Announce Type: new Documentation of airport operations is inherently complex due to extensive technical terminology, rigorous regulations, The framework employs a scaffolded fusion strategy in which expert-curated KE structures guide LLM prompts to facilitate the discovery of semantically aligned knowledge triples. We evaluate this methodology on the Google LangExtract library and investigate the impact of context window utilization by comparing localized segment-based inference with document-level processing.