A spatiotemporal RDF stream model for effective representation of temporal and spatial data
Xin Wang, Chaojie Zhang · 2024
Resource Description Framework (RDF), a metadata model, has become a commonly utilized tool in the extraction of semantic information, the unified organization, and the intelligent processing of vast amounts of data, due to its machine-readable nature. However, the conventional RDF model is inadequate in accurately representing time series data that incorporate spatial information, thus designing an RDF stream model that aligns with temporal and spatial data is a new challenge. Our paper is devoted to designing and constructing a spatiotemporal stream RDF model suitable for spatiotemporal data. The structure devised herein reduces redundancy in temporal and spatial information compared to traditional RDF models, better representing the dynamism of spacetime. Furthermore, the reliability and effectiveness of our model structure have been empirically substantiated.