Paper Info
Title
Deep integration of spatial query processing into native RDF triple stores
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.
Year
DOI
Venue
2010
10.1145/1869790.1869799
GIS
Keywords
Field
DocType
spatial predicate,large data volume,efficient data management system,rdf data,native rdf triple store,deep integration,spatial query processing,map data,model spatial feature,heterogeneous data source,spatial data management,sensor data,spatial polygon,spatial database,structured data,spatial data,sparql,rdf,gis,query language,spatial relationships
Data mining,RDF query language,Information retrieval,Computer science,Linked data,SPARQL,Simple Knowledge Organization System,Spatial query,RDF/XML,RDF Schema,Spatial database
Conference
Citations 
PageRank 
References 
17
1.34
9
Authors
3
Name
Order
Citations
PageRank
Andreas Brodt111010.91
Daniela Nicklas2102685.77
Bernhard Mitschang3928284.89