Our researcher Zhao Xiaotong and the University of Singapore, Professor David Chua and lecturer Dr. Justin Ker-Wei Yeoh's research results "Extracting Construction Knowledge from Project Schedules using Natural Language Processing" recently published in 10th International Conference on Engineering, Project, and Production Management ( EPPM 2019). Zhao Xiaotong, special associate researcher, made the academic report at the meeting as the first author and correspondent author.The article was rated as “EPPM2019 Best Conference Paper” by the conference organizers and reviewers.

　　The research is aimed at the current project schedule planning time, the low efficiency and low accuracy of the progress check method, the innovative application of natural language processing and the network ontology knowledge structure, and the establishment of a set of automatic extraction of construction tasks and methods from the project schedule. The system is designed to automatically check the integrity and accuracy of the project schedule planning.The network-based engineering progress knowledge ontology structure developed by the system can represent the attributes and hierarchical structure of tasks in the construction progress, and can serve the knowledge sharing and expansion in the field of project schedule management.Computational experiments show that compared with the traditional engineering progress detection method, the system developed in this paper can significantly improve the accuracy and efficiency of progress detection.

　　Specific conference information: https://eppm.aconf.org/index.html

　　The conference papers will be published in Lecture Notes in Mechanical Engineering (Springer Press) and will be searched by SCOPUS and Web of Science.

　　【About the Author】

　　Zhao Xiaotong, a master's tutor, assistant professor and special associate researcher in the Department of Management Engineering.The main research directions include: business model innovation and organizational design; green engineering design and management; application of artificial intelligence in engineering management; construction industry productivity measurement and optimization.The research results are published in academic journals such as Automation in Construction, Journal of cleaner production, Journal of construction engineering and management, Sustainable Cities and Society.