• DocumentCode
    1993830
  • Title

    Geo-spatial query based on extended SPARQL

  • Author

    Zhai, Xiaofang ; Huang, Lei ; Xiao, Zhifeng

  • Author_Institution
    State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper adopts an approach for querying spatial semantic by building the Web Ontology language (OWL) format ontology and introducing extended SPARQL Protocol and RDF Query Language (SPARQL) to search spatial semantic relations. Semantic approaches need to be developed by ontology, so we use OWL to describe spatial information extracted by the large-scale map of Wuhan. The approach is illustrated by introducing a case study for using extended SPARQL to query geo-spatial ontology instances of Wuhan. The paper shows that making use of extended SPARQL to search OWL ontology instances can ensure the result´s accuracy and applicability. The result also indicates constructing a geo-spatial semantic query system has positive efforts on forming spatial query and retrieval.
  • Keywords
    geographic information systems; ontologies (artificial intelligence); query processing; visual databases; OWL ontology; RDF query language; Web ontology language; extended SPARQL protocol; geo-spatial semantic query system; resource description framework; spatial semantic relations; Database languages; Geometry; Geospatial analysis; OWL; Ontologies; Roads; Semantics; Geospatial information; OWL; RDF; SPARQL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5567605
  • Filename
    5567605