Ontology-Based Semantic Management of Bridge Drawings

Abstract: As one of the primary information carriers throughout the bridge lifecycle, drawings contain rich semantic information. Traditional file-based management does not support efficient organization and retrieval. In this work, an ontology-based semantic management method for bridge drawings is proposed, leveraging information extracted by artificial intelligence (AI) models. After processing, AI outputs are transformed into structured semantic entities and relationships defined in the ontology. The resulting knowledge graph enables semantic search and helps engineers trace how structural components appear and evolve across drawings. It enhances the accessibility and reusability of bridge drawings and provides a practical foundation for intelligent asset management.