Location Models from the Perspective of Context-Aware Applications and Mobile Ad Hoc Networks
Personal and Ubiquitous Computing
Analyzing theme, space, and time: an ontology-based approach
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Scalable semantic web data management using vertical partitioning
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Hexastore: sextuple indexing for semantic web data management
Proceedings of the VLDB Endowment
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
LinkedGeoData: Adding a Spatial Dimension to the Web of Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
The RDF-3X engine for scalable management of RDF data
The VLDB Journal — The International Journal on Very Large Data Bases
Matrix "Bit" loaded: a scalable lightweight join query processor for RDF data
Proceedings of the 19th international conference on World wide web
Spatially-augmented knowledgebase
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Geo-Store: a spatially-augmented SPARQL query evaluation system
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Strabon: a semantic geospatial DBMS
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
An approach to query relaxation using ontologies in a GIS-based archiving system
Proceedings of the Third ACM SIGSPATIAL International Workshop on GeoStreaming
Enabling the geospatial Semantic Web with Parliament and GeoSPARQL
Semantic Web - On linked spatiotemporal data and geo-ontologies
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Semantic Web technologies, most notably RDF, are well-suited to cope with typical challenges in spatial data management including analyzing complex relations between entities, integrating heterogeneous data sources and exploiting poorly structured data, e.g., from web communities. Also, RDF can easily represent spatial relationships, as long as the location information is symbolic, i.e., represented by places that have a name. What is widely missing is support for geographic and geometric information, such as coordinates or spatial polygons, which is needed in many applications that deal with sensor data or map data. This calls for efficient data management systems which are capable of querying large amounts of RDF data and support spatial query predicates. We present a native RDF triple store implementation with deeply integrated spatial query functionality. We model spatial features in RDF as literals of a complex geometry type and express spatial predicates as SPARQL filter functions on this type. This makes it possible to use W3C's standardized SPARQL query language as-is, i.e., without any modifications or extensions for spatial queries. We evaluate the characteristics of our system on very large data volumes.