GeoSPARQL Query Tool - A Geospatial Semantic Web Visual Query Tool

Ralph Grove, James Wilson, Dave Kolas, Nancy Wiegand


As geospatial data are becoming more widely used through mobile devices and location sensitive applications, the potential value of linked open geospatial data in particular has grown, and a foundation is being developed for the Semantic Geospatial Web. Protocols such as GeoSPARQL and stSPARQL extend SPARQL in order to take advantage of spatial relationships inherent in geospatial data. This paper presents GeoQuery, a graphical geospatial query tool that is based on Semantic Web technologies. GeoQuery presents a map-based user interface to geospatial search functions and geospatial operators. Rather than using a proprietary geospatial database, GeoQuery enables queries against any GeoSPARQL endpoint by translating queries expressed via its graphical user interface into GeoSPARQL queries, allowing geographic information scientists and other Web users to query linked data without knowing GeoSPARQL syntax.


  1. Battle, R., Kolas, D., 2012. Enabling the Geospatial Semantic Web with Parliament and GeoSPARQL, Semantic Web Journal 3(4): 355-370.
  2. Bizer, C., Heath, T., and Berners-Lee, T., 2009. Linked Data - The Story So Far, International Journal on Semantic Web and Information Systems, Special Issue on Linked Data, 5:1-22.
  3. Collustra, 2013. (Online). Available: web/event/TWeD/2013/Fall/Collustra (30 Sep 2013).
  4. Das, S., Chong, E. I., Eadon, G., Srinivasan, J., 2004. Supporting Ontology-based Semantic Matching in RDBMS, Proceedings of the 30th VLDB Conference, Toronto, Canada, pp. 1054-1065, 2004.
  5. Denaux, R., Dolbear, C., Hart, G., Dimitrova, V., and Cohn, A., 2011. Supporting Domain Experts to Construct Conceptual ontologies: A Holistic Approach, Web Semantics: Science, Services and Agents on the World Wide Web, 9 (2011), pp. 113-127.
  6. Egenhofer, M. J., and Herring, J. R., 1990. Categorizing binary topological relations between regions, lines, and points in geographic databases. Technical report, Department of Surveying Engineering, University of Maine.
  7. Egenhofer, M. J., 2002. Toward the semantic geospatial web, Proceedings of the ACM GIS02, pp. 1-4.
  8. Garbis, G., Kyzirakos, K., and Koubarakis, M., 2013. Geographica: A Benchmark for Geospatial RDF Stores, accepted at the 2013 International Semantic Web Conference.
  9. Geospatial Semantics and Ontology, 2013. Center for Excellence in Geospatial Science, [Online], Available: [15 Sep 2013].
  10. Grandi, F., 2012. Introducing an Annotated Bibliography on Temporal and Evolution Aspects in the Semantic Web, SIGMOD Record, December 2012 (Vol. 41, No. 4), pp. 18-21, Available: (15 Sep 2013).
  11. Hoffart, J., Suchanek, F. M., Berberich, K., and Weikum, G., 2012. YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia (preprint), (Online), Available: (29 Sep 2013).
  12. Kolas, D., 2009. Supporting Spatial Semantics with SPARQL, Transactions in GIS, Vol. 12, Issue s1, pp. 5-18, December 2008.
  13. Koubarakis, M., Karpathiotakis, M., Kyzirakos, K., Nikolaou, C, and Sioutis, M., 2012. Data Models and Query Languages for Linked Geospatial Data, Reasoning Web 2012, LNCS 7487, T. Eiter and T. Krennwallner (Eds.) pp. 220-328, 2012.
  14. Kyzirakos, K., Karpathiotakis, M., and Koubarakis, M., 2012. Strabon: A Semantic Geospatial DBMS, Proceedings of the 11th International Semantic Web Conference (ISWC 2012), Boston, USA, November 11th-15th.
  15. The Linked Data Web, (Online), Available: (16 Sep 2013).
  16. Ma, L., Wang, C., Lu, J., Cao, F., Pan, Y., Yu, Y., 2008. Effective and Efficient Semantic Web Data Management over DB2, Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, pp. 1183-1194.
  17. Manola, F., Miller, E. (Ed.s), 2004. RDF Primer, (Online), Available: (25 Dec 2013).
  18. Open Geospatial Consortium, 2011. OpenGIS Implementation Standard for Geographic information - Simple feature access - Part 1: Common architecture, (Online), Available: standards/sfa (25 Dec 2013).
  19. Perry, M., Herring, J. (Eds.), 2010. OGC GeoSPARQL - A Geographic Query Language for RDF Data, Open Geospatial Consortium, (Online), Available: (16 Sep 2013).
  20. Prud'hommeaux, E. ,Seaborne, A. (Eds.), 2008. SPARQL Query Language for RDF, (Online), Available: (25 Dec 2013).
  21. Randell, D. A., Cui, Z., and Cohn, A. G., 1992. A spatial logic based on regions and connection. In Proceedings of the 3rd International Conference on Knowledge Representation and Reasoning.
  22. Terra Cognita, 2012. (Online), Available: nita.html (15 Sep 2013).
  23. Varanka, D. (Ed.), 2012. Introduction to Geospatial Semantics and Technology Workshop Handbook, 2012 University Consortium for Geographic Information Science Symposium, (Online), Available: (15 Sep 2013).
  24. Query 3: Schools within Shenandoah County

Paper Citation

in Harvard Style

Grove R., Wilson J., Kolas D. and Wiegand N. (2014). GeoSPARQL Query Tool - A Geospatial Semantic Web Visual Query Tool . In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-989-758-024-6, pages 33-40. DOI: 10.5220/0004797800330040

in Bibtex Style

author={Ralph Grove and James Wilson and Dave Kolas and Nancy Wiegand},
title={GeoSPARQL Query Tool - A Geospatial Semantic Web Visual Query Tool},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},

in EndNote Style

JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - GeoSPARQL Query Tool - A Geospatial Semantic Web Visual Query Tool
SN - 978-989-758-024-6
AU - Grove R.
AU - Wilson J.
AU - Kolas D.
AU - Wiegand N.
PY - 2014
SP - 33
EP - 40
DO - 10.5220/0004797800330040