This task reviews the current state of the art in geospatial and semantic data management concerning performance, scaling, expressiveness, as well as conformance with de facto and de jure standards (Open Geospatial Consortium, ISO TC211, W3C, INSPIRE Directive).First, we will examine currently available standards to embed spatial representations in RDF (e.g. RDFID Geo, GeoRDF, GML, GeoRSS, KML). Second, we will document and analyze the support of existing semantic repositories for the aforementioned spatial representations. Third, we will design and execute analytical benchmarks to compare the performance and real-world relevance of current semantic repositories toFLOSS and proprietary geospatial databases (e.g. PostGIS, Oracle Spatial). Specifically, we will use Open Street Map data as a very large data source, and typical geospatial queries performed by the OSM community as workloads. Our findings will establish a baseline for evaluating performance and scaling attributes of current approaches, and provide quantitative metrics for evaluating the performance of prototypes produced later in the project.

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