Geospatial Information Integration Approach Based on Geographic Context Ontologies

  • Miguel TorresEmail author
  • Rolando Quintero
  • Serguei Levachkine
  • Marco Moreno
  • Giovanni Guzmán
Conference paper
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


Geospatial information integration is not a trivial task. An integrated view must be able to describe various heterogeneous data sources and its interrelation to obtain shared conceptualizations. In this work, an approach to geospatial information integration based on the conceptualization of the geographic domain is described. As a result of this conceptualization, we propose a semantic method for geospatial information integration. This consists of providing semantic descriptions, which explicitly describe the properties and relations of geographic objects represented by concepts, while the behavior depicts the objects, semantics. Also, this method allows us to compress and share geospatial information by means of alternative structures of knowledge representation. Thus, it avoids the ambiguity of the terms, using a geographic domain conceptualization. The general vision of the paper is to establish the basis to implement semantic processing oriented to geospatial data. Future work is focused on designing intelligent geographic information systems (iGIS).


Geographic Information System Conceptual Schema Semantic Description SPARQL Query Geospatial Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Gruber T (1993) From a Translation Approach to Portable Ontology Specifications. J Knowledge Acquisition 5(2): 199–220CrossRefGoogle Scholar
  2. 2.
    . Guarino N (1998) Formal Ontology and Information Systems. In: Proceedings of the International Confe-rence on Formal Ontology in Information Systems, FOIS 1998, Trento, Italy, pp 3-15Google Scholar
  3. 3.
    Torres M, Quintero R, Levachkine S, Guzmán G, Moreno M (2008) Towards a Methodology to Conceptualize the Geographic Domain. Lecture Notes in Artificial Intelligence, vol 5317. Springer-Verlag, Berlin, Germany, pp 111–122Google Scholar
  4. 4.
    Uschold M, Grüninger M (1996) Ontologies: Principles, Methods and Applications. J Knowledge Engineering Review 11(2): 93–155CrossRefGoogle Scholar
  5. 5.
    Fernández M, Gómez A, Juristo N (1997) METHONTOLOGY: From Ontological Art Towards. In: Ontological Engineering. Symposium on Ontological Engineering of AAAI. Stanford University, California, pp 33–40Google Scholar
  6. 6.
    Guarino N, Welty C (1995) A Formal Ontology of Properties. Lecture Notes in Artificial Intelligence, vol 1937. Springer-Verlag, Berlin, Germany, pp 97–112Google Scholar
  7. 7.
    Mark D, Smith B, Tversky B (1999) Ontology and Geographic Objects: An Empirical Study of Cognitive Categorization. In: Proceedings of the Spatial Information Theory: A Theoretical Basis for GIS, Stade, Germany, pp 283-298Google Scholar
  8. 8.
    Torres M, Levachkine S (2007) Obtaining semantic descriptions based on conceptual schemas embedded into a geographic context. Lecture Notes in Geoinformation and Cartography, vol 4977, Springer-Verlag, Berlin, Germany, pp 209–222Google Scholar
  9. 9.
    Torres M (2007) Representación ontológica basada en descriptores semánticos aplicada a objetos geográficos. Ph D Thesis in SpanishGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Miguel Torres
    • 1
    Email author
  • Rolando Quintero
    • 1
  • Serguei Levachkine
    • 1
  • Marco Moreno
    • 1
  • Giovanni Guzmán
    • 1
  1. 1.Centre for Computing Research, National Polytechnic InstituteIntelligent Processing of Geospatial Information LabMexico CityMexico

Personalised recommendations