GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data -- Technical Report
This work addresses the challenge of querying raster data alongside graph and vector data for geospatial applications, though it appears incremental as an extension of existing standards.
The researchers tackled the problem of integrating raster data into Semantic Web graphs by extending the GeoSPARQL vocabulary and query language, resulting in a prototypical implementation validated for feasibility on real-world datasets.
We introduce an approach to semantically represent and query raster data in a Semantic Web graph. We extend the GeoSPARQL vocabulary and query language to support raster data as a new type of geospatial data. We define new filter functions and illustrate our approach using several use cases on real-world data sets. Finally, we describe a prototypical implementation and validate the feasibility of our approach.