Linking Open Spatiotemporal Data in the Data Clouds

  • He Hu
  • Xiaoyong Du
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6401)


The Linked Data Clouds are the best expression and realization of the Semantic Web vision to date. The Data Clouds can significantly benefit both the AI and Semantic Web communities by enabling new classes of tasks and enhancing reasoning, data mining and knowledge discovery applications. There are various forms of spatiotemporal data in the Linked Data Clouds. To efficiently utilize these spatiotemporal data, schema heterogeneity problem must be resolved. A hierarchical spatiotemporal model is proposed to give a conceptual description of different spatiotemporal dataset of Linked Data Clouds. The model can support schema level mappings and convey relationships between concepts of different datasets at the schema level. The hierarchical spatiotemporal model contains three layers: an meta level for abstract level spacetime knowledge; an schema level for well-known models in spatial and temporal reasoning - Allen’s Interval Algebra in temporal reasoning and the RCC model in spatial reasoning; and an instantiations level to provide systematic mapping and formal descriptions of the various ground spatiotemporal statements.


Spatiotemporal Data Linked Data SPARQL 


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  1. 1.
    Bizer, C., Heath, T., Ayers, D., Raimond, Y.: Interlinking Open Data on the Web. In Demonstrations Track. In: 4th European Semantic Web Conference, Innsbruck, Austria (2007)Google Scholar
  2. 2.
    Allen, J.F.: Maintaining Knowledge about Temporal Intervals. Communications of the ACM 26(11), 832–843 (1983)zbMATHCrossRefGoogle Scholar
  3. 3.
    Randell, D.A., Cui, Z., Cohn, A.G.: A Spatial Logic Based on Regions and Connection. In: Principles of Knowledge Representation and Reasoning: Proceedings of the 3rd International Conference, pp. 165–176 (1992)Google Scholar
  4. 4.
    Auer, S., Lehmann, J., Hellmann, S.: LinkedGeoData - adding a spatial dimension to the web of data. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 731–746. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  5. 5.
    Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Ives, Z.: Dbpedia: A nucleus for a web of open data. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 11–15. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  6. 6.
    Martins, B., Manguinhas, H., Borbinha, J.: Extracting and exploring geo-temporal semantics of textual resources. In: Proceedings of the 2nd IEEE International Conference on Semantic Computing (2008)Google Scholar
  7. 7.
    Henson, C., Neuhaus, H., Sheth, A., Thirunarayan, K., Buyya, R.: An Ontological Representation of Time Series Observations on the Semantic Sensor Web. In: 1st International Workshop on the Semantic Sensor Web 2009, collocated with the 6th European Semantic Web Conference, ESWC (2009)Google Scholar
  8. 8.
    Bittner, T., Donnelly, M., Smith, B.: A Spatio-Temporal Ontology for Geographic Information Integration. International Journal of Geographical Information Science 23(6), 765–798 (2009)CrossRefGoogle Scholar
  9. 9.
    Grenon, P.: The spatio-temporal ontology of reality and its formalization. In: AAAI Spring Symposium on Foundations and Applications of Spatio-Temporal Reasoning (FASTR) (2003)Google Scholar
  10. 10.
    Borgida, A.: On the relative expressiveness of description logics and predicate logics. Artificial Intelligence 82(1-2), 353–367 (1996)CrossRefMathSciNetGoogle Scholar
  11. 11.
    Horrocks, I., Kutz, O., Sattler, U.: The even more irresistible SROIQ. In: KR 2006 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • He Hu
    • 1
    • 2
  • Xiaoyong Du
    • 1
    • 2
  1. 1.School of InformationRenmin University of ChinaBeijingChina
  2. 2.Key Laboratory of Data Engineering and Knowledge EngineeringMOEBeijingChina

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