Article in Proceedings INPROC-2010-119

BibliographyBrodt, Andreas; Nicklas, Daniela; Mitschang, Bernhard: Deep integration of spatial query processing into native RDF triple stores.
In: Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems.
University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems).
pp. 33-42, english.
New York, NY, USA: ACM Press, November 2, 2010.
ISBN: 978-1-4503-0428-3.
Article in Proceedings (Conference Paper).
CorporationGIS '10
CR-SchemaH.2.8 (Database Applications)
KeywordsGIS, RDF, SPARQL, spatial database, triple store
Abstract

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.

Full text and
other links
PDF (459989 Bytes)
Contactbrodt@ipvs.uni-stuttgart.de
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
Project(s)SFB-627, B1 (University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems)
Entry dateMarch 30, 2011
   Publ. Department   Publ. Institute   Publ. Computer Science