Ontology-based modelling of lifecycle underground utility information to support operation and maintenance

Operation and maintenance (O&M) of underground utilities is crucial to ensure normal functionality by performing different inspection activities. A variety data are required staff evaluate utility condition make decisions in planning works. Nevertheless, for O&M usually originated from sources, with various formats or representations. Interpreting integrating such heterogenous remains a significant challenge. Therefore, this paper proposes an ontology-based framework modelling lifecycle information as facilitate activities support decision making during O&M. The consists (1) layer collect types data, (2) knowledge extract common mechanisms methods O&M, (3) ontology where domain ontology, Utility Maintenance Ontology (UOMO), developed entities semantic rules represent categories related projects, (4) application automate manual tasks leveraging the query reasoning capability ontology. To validate framework, case study performed using real-world user interface allow users implement functions without technical knowledge. demonstrates that can, efficiently automatically, integrate assist activities, e.g. defect rating, assessment validation, well prioritizing works, selecting appropriate methods. This contributes proposing first improving efficiency capabilities fully utilized. expected interoperability can be extended other large-scale infrastructure management.