Geographica: A Benchmark for Geospatial RDF Stores
George Garbis, Kostis Kyzirakos, and Manolis Koubarakis

TL;DR
Geographica is a comprehensive benchmark designed to evaluate the functionality and performance of geospatial RDF stores using real-world and synthetic data, addressing the lack of standardized testing tools in this domain.
Contribution
This paper introduces Geographica, the first widely used benchmark for assessing geospatial RDF stores, incorporating recent geospatial extensions and diverse datasets.
Findings
Identifies gaps in current geospatial RDF store evaluations
Provides a standardized testing framework for geospatial RDF stores
Demonstrates the benchmark's effectiveness with initial evaluations
Abstract
Geospatial extensions of SPARQL like GeoSPARQL and stSPARQL have recently been defined and corresponding geospatial RDF stores have been implemented. However, there is no widely used benchmark for evaluating geospatial RDF stores which takes into account recent advances to the state of the art in this area. In this paper, we develop a benchmark, called Geographica, which uses both real-world and synthetic data to test the offered functionality and the performance of some prominent geospatial RDF stores.
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Taxonomy
TopicsSemantic Web and Ontologies · Data Management and Algorithms · Advanced Database Systems and Queries
