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Spatio-temporal Information Systems in a Statistical Context

  • Leonardo Tininini
  • Mario Paolucci
  • Giuseppe Sindoni
  • Stefano De Francisci
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2287)

Abstract

The Italian National Statistics Institute is currently integrating its various spatio-temporal data collections. It has been developed an integrated system, whose implementation relied on Web and relational technologies to cope with data heterogeneity. The system provides users with many di.erent classes of functions with which to analyse and visualise territorial data. It can be viewed as a spatio-temporal data warehouse, where space and time are the main access dimensions to statistical data, but also where space can be analysed according to its temporal mutations as a preliminary step in the design activity of a statistical survey. The system overcomes a drawback of current commercial data warehouse systems, which are not able to cope with the dynamic behaviour of a dimension - that is, its temporal evolution.

Keywords

Census Tract Data Warehouse Lombardia Region Territory Evolution Multidatabase System 
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.

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References

  1. 1.
    T. Critchlow, Ganesh M., and R. Musick. Metadata based mediator generation. In Third IFCIS Conference on Cooperative Information Systems, pages 168–176, 1998.Google Scholar
  2. 2.
    G. Fang, J. Hammer, and D. McLeod. The identification and resolution of semantic heterogeneity in multidatabase systems. In International Workshop on Interoperability in Multidatabase Systems, Kioto, Japan, April 1991, 1991.Google Scholar
  3. 3.
    K. Hornsby and M. J. Egenhofer. Identity-based change: A foundation for spatiotemporal knowledge representation. International Journal of Geographical Information Science, 14(3):207–224, 2000.CrossRefGoogle Scholar
  4. 4.
    R. King, M. Novak, C. Och, and F. Vélez. Sybil: Supporting heterogeneous database interoperability with lightweight alliance. In NGITS97, pages 306–320, 1997.Google Scholar
  5. 5.
    A. O. Mendelzon and A. A. Vaisman. Temporal queries in olap. In International Conf. on Very Large Data Bases (VLDB’00), Cairo, Egypt, September 10–14, pages 242–253, 2000.Google Scholar
  6. 6.
    F. Naumann, U. Leser, and J. C. Freytag. Quality-driven integration of heterogeneous information systems. Informatik bericht 117, Humboldt University, 1999.Google Scholar
  7. 7.
    S. Navathe and M. Donahoo. Towards intelligent integration of heterogeneous information sources, 1995.Google Scholar
  8. 8.
    F. Neven, J. Van den Bussche, D. Van Gucht, and G. Vossen. Typed query languages fordatabases containing queries. Information Systems, 24(7):569–595, 1999.MATHCrossRefGoogle Scholar
  9. 9.
    M. Paolucci, G. Sindoni, S. De Francisci, and L. Tininini. Sit-in on heterogeneous data with java, http and relations. In Workshop on Java and Databases: persistent Options, 2000. In conjunction with NetObject.Days conference.Google Scholar
  10. 10.
    N. Pissinou, R. T. Snodgrass, R. Elmasri, I. S. Mumick, M. Tamer Ozsu, B. Pernici, A. Segev, B. Theodoulidis, and U. Dayal. Towards an infrastructure for temporal databases. SIGMOD RECORD, 23(1):35–51, March 1994.CrossRefGoogle Scholar
  11. 11.
    Amit P. Sheth and James A. Larson. Federated database systems for managing distributed, heterogeneous, and autonomous databases. ACM Computing Surveys, 22(3):183–236, 1990.CrossRefGoogle Scholar
  12. 12.
    G. Sindoni, L. Tininini, A. Ambrosetti, C. Bedeschi, S. De Francisci, O. Gargano, R. Molinaro, M. Paolucci, P. Patteri, and P. Ticca. Sit-in: a real-life spatio-temporal information system. In International Conf. on Very Large Data Bases (VLDB’01), Roma, Italy, September 11–14, pages 711–712, 2001.Google Scholar
  13. 13.
    J. Van den Bussche, D. Van Gucht, and G. Vossen. Reflective programming in the relational algebra. Journal of Computing and System Sciences, 52(3):537–549, June 1996.MATHCrossRefGoogle Scholar
  14. 14.
    G. Wiederhold. Mediators in the architecture of future information systems. IEEE Computer, 25(3):38–49, March 1992.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Leonardo Tininini
    • 1
  • Mario Paolucci
    • 1
  • Giuseppe Sindoni
    • 1
  • Stefano De Francisci
    • 1
  1. 1.ISTATRomaItaly

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