Artikel in Tagungsband INPROC-2010-119

Bibliograph.
Daten
Brodt, 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.
Universität Stuttgart : Sonderforschungsbereich SFB 627 (Nexus: Umgebungsmodelle für mobile kontextbezogene Systeme).
S. 33-42, englisch.
New York, NY, USA: ACM Press, 2. November 2010.
ISBN: 978-1-4503-0428-3.
Artikel in Tagungsband (Konferenz-Beitrag).
KörperschaftGIS '10
CR-Klassif.H.2.8 (Database Applications)
KeywordsGIS, RDF, SPARQL, spatial database, triple store
Kurzfassung

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.

Volltext und
andere Links
PDF (459989 Bytes)
Kontaktbrodt@ipvs.uni-stuttgart.de
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Projekt(e)SFB-627, B1 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware)
Eingabedatum30. März 2011