Advertisement

Ontology for the Engineering of Geospatial Systems

  • Nancy Wiegand
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7478)

Abstract

In this paper, a metamodel ontology is introduced to describe a domain of data components for geospatial data and query systems. The ontology satisfies the need to model the more complex environment that occurs within a geospatial system. For example, contrary to typical databases, geospatial data have additional metadata files describing the actual data. Also, a geospatial system may have domain ontologies in addition to semantic mappings. Currently, user knowledge is required to know the relationships between all data components (data, metadata, ontologies, mappings, etc.). Contrary to that, we propose a system ontology over which automatic inferencing can be done to determine relationships and meanings among data components. This work fits into the vision of the Semantic Web and interlinked data and knowledge networks and applies these notions to a metamodel for a data system.

Keywords

Engineering design and management of geospatial information systems ontology semantics metadata inference metamodel query 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American, 29–37 (May 2001)Google Scholar
  2. 2.
    Das, S., Chong, E., Eadon, G., Srinivasan, J.: Supporting Ontology-based Semantic Matching in RDBMS. In: Nascimento, M., Ozsu, M., Kossmann, D., Miller, R., Blakeley, J., Schiefer, K. (eds.) Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, pp. 1054–1065. Morgan Kaufmann (2004)Google Scholar
  3. 3.
  4. 4.
  5. 5.
    Egenhofer, M.: Toward the Semantic Geospatial Web. In: Voisard, A., Chen, S.C. (eds.) ACM-GIS 2002, McLean, VA, pp. 1–4 (November 2002)Google Scholar
  6. 6.
  7. 7.
    FGDC Metadata Working Group meeting (June 22, 2010), Robert Dollison data.gov presentationGoogle Scholar
  8. 8.
    Fonseca, F., Davis, C., Camara, G.: Bridging Ontologies and Conceptual Schemas in Geographic Information Integration. GeoInformatica 7(4), 355–378 (2003)CrossRefGoogle Scholar
  9. 9.
    Geospatial One-Stop, http://www.geodata.gov
  10. 10.
    Goodwin, J., Dolbear, C., Hart, G.: Geographical Linked Data: The Administrative Geography of Great Britain on the Semantic Web. Transactions in GIS 12(s1), 19–30 (2008)CrossRefGoogle Scholar
  11. 11.
    Halevy, A., Franklin, M., Maier, D.: Principles of Dataspace Systems. In: Vansummeren, S. (ed.) Twenty-Fifth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, Chicago, Illinois, June 26-28, pp. 1–9 (2006)Google Scholar
  12. 12.
    Hochmair, H.H.: Ontology Matching for Spatial Data Retrieval from Internet Portals. In: Rodríguez, M.A., Cruz, I., Levashkin, S., Egenhofer, M. (eds.) GeoS 2005. LNCS, vol. 3799, pp. 166–182. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  13. 13.
  14. 14.
    Linked Open Data, http://linkeddata.org/
  15. 15.
    Ma, L., Wang, C., Lu, J., Cao, F., Pan, Y., Yu, Y.: Effective and Efficient Semantic Web Data Management over DB2. In: 2008 ACM SIGMOD International Conference on Management of Data, New York, NY, pp. 1183–1194 (2008)Google Scholar
  16. 16.
  17. 17.
  18. 18.
  19. 19.
    Prud’hommeaux, E., Seaborne, A.: SPARQL Query Language for RDF. W3C Recommendation (January 15, 2008), http://www.w3.org/TR/rdf-sparql-query/
  20. 20.
    Rodriguez-Muro, M., Lubyte, L., Calvanese, D.: Realizing Ontology Based Data Access: A Plug-in for Protégé, www.inf.unibz.it/~rodriguez/papers/rodr-luby-calv-IIMAS-2008.pdf
  21. 21.
    Schuurman, N., Leszczynski, A.: Ontology-Based Metadata. Transactions in GIS 10(5), 709–726 (2006)CrossRefGoogle Scholar
  22. 22.
    Seltzer, M.: Beyond Relational Databases. ACM Queue, 50–58 (April 2005)Google Scholar
  23. 23.
    Smith, M.K., Welty, C., McGuinness, D.L. (eds.): OWL Web Ontology Language Guide, W3C Recommendation (February 10, 2004), http://www.w3.org/TR/2004/REC-owl-guide-20040210/
  24. 24.
    Tang, W., Selwood, J.: Spatial Portals, Gateways to Geographic Information. ESRI Press, Redlands (2005)Google Scholar
  25. 25.
    Theobald, A., Weikum, G.: The XXL Search Engine: Ranked Retrieval of XML Data using Indexes and Ontologies. In: ACM SIGMOD 2002, Madison, WI, June 4-6, p. 615 (2002)Google Scholar
  26. 26.
  27. 27.
    Uschold, M., Gruninger, M.: Ontologies and Semantics for Seamless Connectivity. SIGMOD Record 33(4), 58–63 (2004)CrossRefGoogle Scholar
  28. 28.
    Weikum, G., Theobald, M.: From Information to Knowledge: Harvesting Entities and Relationships From Web Sources. In: PODS 2010, June 6-11, Indianapolis, Indiana (2010)Google Scholar
  29. 29.
    Wiegand, N.: Semantic Web for Geospatial E-Government Portals. In: Cushing, J., Pardo, T. (eds.) 8th Annual International Digital Government Research Conference (dg.o 2007), Philadelphia, PA, pp. 298–299 (May 2007)Google Scholar
  30. 30.
    Wiegand, N., Garcia, C.: A Task-Based Ontology Approach to Automate Geospatial Data Retrieval. Transactions in GIS Special Issue on the Geospatial Semantic Web 11(3), 355–376 (2007)Google Scholar
  31. 31.
    Wiegand, N.: Exploring RDBMS Support for Ontology Enhanced Searching in Geospatial Portals. In: GIScience 2008, Park City, Utah, pp. 196–200 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Nancy Wiegand
    • 1
  1. 1.University of Wisconsin-MadisonMadisonUSA

Personalised recommendations