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Ontological knowledge base for concrete bridge rehabilitation project management

journal contribution
posted on 2021-01-01, 00:00 authored by Chengke Wu, Peng Wu, Jun WangJun Wang, Rui Jiang, Mengcheng Chen, Xiangyu Wang
Concrete bridges are critical infrastructures, which require effective rehabilitation to maintain a good condition. Bridge rehabilitation projects have complex constraints and multiple participants. Constraint management is critical for such projects. Integrating and searching for relevant information is a key step for constraint management to timely remove constraints. However, accessing project information still relies on manual searching, which can delay information flow in constraint management and hinder constraint removal. Thus, this study introduces the concrete bridge rehabilitation project management ontology (CBRPMO) to improve information integration and constraint management. The CBRPMO was created by comprehensively collecting domain knowledge of bridge rehabilitation and following standard procedures. Reasoning rules were combined with an application programming interface (i.e. OWL API) to enable functions not supported in traditional ontologies (e.g. temporal computation and dynamic updating). As such, the CBRPMO can effectively handle dynamic information in ongoing projects. The CBRPMO was validated in a case study. The results show that the CBRPMO can: 1) integrate project information of constraints, tasks and procedures, participants, and relations between these project entities; 2) support various management functions based on dynamic project information, including evaluating project progress, constraint removal, and participants' performance. The CBRPMO contributes to the industry by: 1) extending the application of ontologies in the bridge sector to cover the rehabilitation stage; 2) enhancing functions of conventional ontologies; and 3) reducing information searching time compared to manual searching, which improves constraint management approaches by automating the information searching step.



Automation in Construction



Article number



1 - 20




Amsterdam, The Netherlands





Publication classification

C1 Refereed article in a scholarly journal