Abstract
Equipment integrated logistics support (ILS) data modeling is the foundation for equipment ILS design, analysis, and decision-making. At present, the ILS data resources have the characteristics of multi-source heterogeneous and complex association. Traditional data modeling methods cannot clearly express the property information and relationship of ILS data. Therefore, based on metadata and ontology theory, this paper proposes a four-level ILS data modeling framework to solve the unified expression problem of ILS data. Firstly, the ILS metadata schemata are summarized and defined. Secondly, the construction process of ILS core metadata ontology and specialized metadata ontology is analyzed. Then, the ontology model and linked data model are constructed to express the relationships between ILS data and product hierarchy, operation event, lifecycle stage, and data category. Finally, the ILS linked data modeling and model information retrieval operations are carried out through the developed ILS data modeling software, which verifies the feasibility of the proposed method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
