Data model (GIS)

Bridge (graph theory)

Epistemology

Data mining

Internal medicine

Engineering

Mathematical analysis

Philosophy

Artificial intelligence

Semantic Web

Information retrieval

Wireless sensor network

Ontology

Structural health monitoring

Computer network

Mathematics

Domain (mathematical analysis)

Computer science

Structural engineering

Data modeling

Medicine

Database

IEEE Transactions on Industrial Informatics

Structural health monitoring (SHM) systems have been extensively used to ensure the operational safety of long-span bridges. Large-scale bridge structural response and loading data observed from various sensors show obvious big data characteristics. However, serious "data island" problems, which exist in the conventional SHM solutions, inevitably limit the effects of sensory data analysis and information sharing. A unified bridge SHM semantic representation model is much in demand. By taking the advantages of Semantic Web technologies, this article presents a novel model, called the bridge structure and health monitoring ontology, to achieve fine-grained modeling of bridge structures, SHM systems, sensors, and sensory data from multiple perspectives. A bridge SHM big data platform is used to demonstrate the usefulness. Several representative data accessing and rule-based reasoning scenarios are employed as to illustrate the advantages of the proposed manner.

Ontologies-Based Domain Knowledge Modeling and Heterogeneous Sensor Data Integration for Bridge Health Monitoring Systems