A constrant-based spatial extension to SQL
Proceedings of the 6th ACM international symposium on Advances in geographic information systems
A Formal Definition of Binary Topological Relationships
FOFO '89 Proceedings of the 3rd International Conference on Foundations of Data Organization and Algorithms
IEEE Transactions on Knowledge and Data Engineering
A framework to support spatial, temporal and thematic analytics over semantic web data
A framework to support spatial, temporal and thematic analytics over semantic web data
Spatially-augmented knowledgebase
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Deep integration of spatial query processing into native RDF triple stores
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
What are real SPARQL queries like?
Proceedings of the International Workshop on Semantic Web Information Management
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Real-time wildfire monitoring using scientific database and linked data technologies
Proceedings of the 16th International Conference on Extending Database Technology
Linked open GeoData management in the cloud
Proceedings of the 2nd International Workshop on Open Data
RR'13 Proceedings of the 7th international conference on Web Reasoning and Rule Systems
Querying incomplete geospatial information in RDF
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
The spatiotemporal RDF store strabon
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
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We present Strabon, a new RDF store that supports the state of the art semantic geospatial query languages stSPARQL and GeoSPARQL. To illustrate the expressive power offered by these query languages and their implementation in Strabon, we concentrate on the new version of the data model stRDF and the query language stSPARQL that we have developed ourselves. Like GeoSPARQL, these new versions use OGC standards to represent geometries where the original versions used linear constraints. We study the performance of Strabon experimentally and show that it scales to very large data volumes and performs, most of the times, better than all other geospatial RDF stores it has been compared with.