License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.COSIT.2019.6
URN: urn:nbn:de:0030-drops-110984
URL: https://drops.dagstuhl.de/opus/volltexte/2019/11098/
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Moreira, José ; Duarte, José ; Dias, Paulo

Modeling and Representing Real-World Spatio-Temporal Data in Databases (Vision Paper)

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LIPIcs-COSIT-2019-6.pdf (0.8 MB)


Abstract

Research in general-purpose spatio-temporal databases has focused mainly on the development of data models and query languages. However, since spatio-temporal data are captured as snapshots, an important research question is how to compute and represent the spatial evolution of the data between observations in databases. Current methods impose constraints to ensure data integrity, but, in some cases, these constraints do not allow the methods to obtain a natural representation of the evolution of spatio-temporal phenomena over time. This paper discusses a different approach where morphing techniques are used to represent the evolution of spatio-temporal data in databases. First, the methods proposed in the spatio-temporal databases literature are presented and their main limitations are discussed with the help of illustrative examples. Then, the paper discusses the use of morphing techniques to handle spatio-temporal data, and the requirements and the challenges that must be investigated to allow the use of these techniques in databases. Finally, a set of examples is presented to compare the approaches investigated in this work. The need for benchmarking methodologies for spatio-temporal databases is also highlighted.

BibTeX - Entry

@InProceedings{moreira_et_al:LIPIcs:2019:11098,
  author =	{Jos{\'e} Moreira and Jos{\'e} Duarte and Paulo Dias},
  title =	{{Modeling and Representing Real-World Spatio-Temporal Data in Databases (Vision Paper)}},
  booktitle =	{14th International Conference on Spatial Information Theory (COSIT 2019)},
  pages =	{6:1--6:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-115-3},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{142},
  editor =	{Sabine Timpf and Christoph Schlieder and Markus Kattenbeck and Bernd Ludwig and Kathleen Stewart},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/11098},
  URN =		{urn:nbn:de:0030-drops-110984},
  doi =		{10.4230/LIPIcs.COSIT.2019.6},
  annote =	{Keywords: spatio-temporal databases, region interpolation problem, moving regions, morphing techniques}
}

Keywords: spatio-temporal databases, region interpolation problem, moving regions, morphing techniques
Collection: 14th International Conference on Spatial Information Theory (COSIT 2019)
Issue Date: 2019
Date of publication: 03.09.2019


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