GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data -- Technical Report
Timo Homburg, Steffen Staab, Daniel Janke

TL;DR
This paper extends GeoSPARQL to include raster data, enabling integrated querying of graph, raster, and vector data within the Semantic Web, supported by a prototype implementation and real-world use cases.
Contribution
It introduces new syntax, semantics, and system support for raster data in GeoSPARQL, enhancing geospatial data integration and querying capabilities.
Findings
Successful extension of GeoSPARQL for raster data
Prototype implementation demonstrates feasibility
Use cases validate practical applicability
Abstract
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.
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Taxonomy
TopicsData Management and Algorithms · Geographic Information Systems Studies · Semantic Web and Ontologies
