Natural language processing for construction sites management

Abstract: Information flow management has historically been a problem in the construction industry. Fragmentation of processes within the sector, interdisciplinarity, and lack of unambiguous methods for passing information are some of the obstacles that make it difficult to have a non-splintered flow of data. BIM approach is a valuable support for optimal information flow management. NLP with vocal assistants can facilitate the access and understanding of the information to non-technical users. This research proposes the development of a system for querying BIM models through natural language and without the use of specific keywords.