Spatio-temporal database support for long-period scientific data

نویسندگان

  • Martin Breunig
  • Armin B. Cremers
  • Serge S. Shumilov
  • Jörg Siebeck
چکیده

The quickly increasing number of spatio-temporal applications in fields like environmental management, geology and mobile communication is a new challenge to the development of database management systems. After discussing the related work we present concepts and implementations for the modelling and persistent management of geological long-period scientific data. The spatio-temporal classes are based upon GeoToolKit, an object-oriented 3D/4D geodatabase kernel system. Range queries on spatio-temporal objects are described in detail. We demonstrate the application of the spatio-temporal model with the balanced restoration of structural Rhine Basin evolution, an ambitious geologicql application . Finally, we give an outlook on our future research in the context of spatio-temporal database services.

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عنوان ژورنال:
  • Data Science Journal

دوره 2  شماره 

صفحات  -

تاریخ انتشار 2003