Multi-granular spatio-temporal object models: concepts and research directions

  • Authors:
  • Elisa Bertino;Elena Camossi;Michela Bertolotto

  • Affiliations:
  • CERIAS, Purdue University, Indiana;School of Computer Science and Informatics, University College Dublin, Belfield, Dublin, Ireland;School of Computer Science and Informatics, University College Dublin, Belfield, Dublin, Ireland

  • Venue:
  • ICOODB'09 Proceedings of the Second international conference on Object databases
  • Year:
  • 2009

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Abstract

The capability of representing spatio-temporal objects is fundamental when analysing and monitoring the changes in the spatial configuration of a geographical area over a period of time. An important requirement when managing spatio-temporal objects is the support for multiple granularities. In this paper we discuss how the modelling constructs of object data models can be extended for representing and queryingmulti-granular spatio-temporal objects. In particular, we describe object-oriented formalizations for granularities, granules, and multi-granular values, exploring the issues of value conversions. Furthermore, we formally define an object-oriented multi-granular query language, and discuss dynamic multi-granularity. Finally, we discuss open research issues.