WMO: an ontology for the semantic enrichment of wetland monitoring data

Rich observation data generated by ubiquitous sensors are vital for wetland monitoring, spanning from the prediction of natural disasters to emergency response. Such use different acquisition and description methods and, if combined, could provide a comprehensive wetland. Unfortunately, these remain hidden in isolated silos, their variety makes integration interoperability significant challenge. In this work, we develop semantic model monitoring using an agile modular approach, namely, ontology (WMO), which contains five modules: ecosystem, indicator, context, geospatial temporal context. The proposed supports multiple sources, domains, modes, spatiotemporal scales. We also two real-world cases validate WMO demonstrate WMO’s usability reusability.