Publishing Climate Data as Linked Data Via Virtual Knowledge Graphs

With the active development of ICT and Internet technologies in climate research, individuals often need to gather different and disparate datasets and preprocess them in preparation for downstream data analysis in order to have a more full understanding of the challenges. This preparatory procedure is often lengthy due to the primary issue that data providers can-not ensure a homogeneous data format for data integration purposes. To overcome this problem, this study proposes enhancing existing relational climate data by layering a virtual knowledge graph on top of the original databases provided by various data vendors. The primary benefit of doing this is that data consumers are able to simply integrate climate data with other data sources using Linked Data principles, and climate data producers do not have to modify their data to conform to standard knowledge graph protocols.