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

Authors José Moreira, José Duarte, Paulo Dias

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Author Details

José Moreira
  • Department of Electronics, Telecommunications and Informatics, University of Aveiro,Portugal
  • Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, Portugal
José Duarte
  • Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, Portugal
Paulo Dias
  • Department of Electronics, Telecommunications and Informatics, University of Aveiro,Portugal
  • Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, Portugal

Funding

This work is partially funded by National Funds through the FCT (Foundation for Science and Technology) in the context of the projects UID/CEC/00127/2013 and POCI-01-0145-FEDER-032636.
  • Duarte, José: has a research grant awarded by the FCT with reference PD/BD/142879/2018.

Acknowledgements

This work is partially funded by National Funds through the FCT (Foundation for Science and Technology) in the context of the projects UID/CEC/00127/2013 and POCI-01-0145-FEDER-032636.

Cite As Get BibTex

José Moreira, José Duarte, and Paulo Dias. Modeling and Representing Real-World Spatio-Temporal Data in Databases (Vision Paper). In 14th International Conference on Spatial Information Theory (COSIT 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 142, pp. 6:1-6:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.COSIT.2019.6

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.

Subject Classification

ACM Subject Classification
  • Information systems → Spatial-temporal systems
  • Information systems → Data model extensions
  • Computing methodologies → Shape modeling
Keywords
  • spatio-temporal databases
  • region interpolation problem
  • moving regions
  • morphing techniques

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References

  1. Marc Alexa, Daniel Cohen-Or, and David Levin. As-rigid-as-possible shape interpolation. In Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00, pages 157-164, 2000. Google Scholar
  2. William Baxter, P Barla, and K Anjyo. Rigid shape interpolation using normal equations. In NPAR '08 Proceedings of the 6th international symposium on Non-photorealistic animation and rendering, pages 59-64, 2008. Google Scholar
  3. Jan Chomicki, Yuguo Liu, and Peter Z. Revesz. Animating Spatiotemporal Constraint Databases. In Proceedings of the International Workshop on Spatio-Temporal Database Management, STDBM '99, pages 224-241, London, UK, 1999. Springer-Verlag. Google Scholar
  4. J Cotelo Lema, Luca Forlizzi, Ralf Hartmut Guting, Enrico Nardelli, and Markus Schneider. Algorithms for Moving Objects Databases. The Computer Journal, 46(6):680-712, 2003. Google Scholar
  5. José Duarte, Paulo Dias, and José Moreira. An Evaluation of Smoothing and Remeshing Techniques to Represent the Evolution of Real-World Phenomena. In Advances in Visual Computing - 13th International Symposium, ISVC 2018, Las Vegas, pages 57-67, 2018. URL: https://doi.org/10.1007/978-3-030-03801-4_6.
  6. Luca Forlizzi, Ralf Haxtmut Giiting, Enrico Nardelli, and Markus Schneider. A Data Model and Data Structures for Moving Objects Databases. In Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, pages 319-330, 2000. Google Scholar
  7. Stephane Grumbach, Manolis Koubarakis, Philippe Rigaux, Michel Scholl, and Spiros Skiadopoulos. Chapter 5: Spatio-temporal Models and Languages: An Approach Based on Constraints, pages 177-201. Springer, September 2003. Google Scholar
  8. Ralf Hartmut Güting, Thomas Behr, and Christian Düntgen. SECONDO : A Platform for Moving Objects Database Research and for Publishing and Integrating Research Implementations. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 33(2):56-63, 2010. Google Scholar
  9. Ralf Hartmut Güting, Michael H Böhlen, Martin Erwig, Christian S Jensen, Nikos A Lorentzos, Markus Schneider, and Michalis Vazirgiannis. A Foundation for Representing and Querying Moving Objects. ACM Trans. Database Systems, 25(1):1-42, 2000. Google Scholar
  10. S. Haesevoets and B. Kuijpers. Closure properties of classes of spatio-temporal objects under Boolean set operations. In Proceedings Seventh International Workshop on Temporal Representation and Reasoning. TIME 2000, pages 79-86, July 2000. Google Scholar
  11. Florian Heinz and Ralf Hartmut Güting. Robust high-quality interpolation of regions to moving regions. GeoInformatica, 20(3):385-413, 2016. Google Scholar
  12. Florian Heinz and Ralf Hartmut Güting. A data model for moving regions of fixed shape in databases. International Journal of Geographical Information Science, 32(9):1737-1769, 2018. Google Scholar
  13. Ligang Liu, Guopu Wang, Bo Zhang, Baining Guo, and Heung-Yeung Shum. Perceptually based approach for planar shape morphing. In Proceedings of the 12th Pacific Conference on Computer Graphics and Applications, 2004. PG 2004, pages 111-120, October 2004. Google Scholar
  14. Zhiguang Liu, Howard Leung, Liuyang Zhou, and Hubert P. H. Shum. High Quality Compatible Triangulations for 2D Shape Morphing. In Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology, VRST '15, pages 85-94, New York, NY, USA, 2015. ACM. URL: https://doi.org/10.1145/2821592.2821594.
  15. Mark Mckenney and Roger Frye. Generating Moving Regions from Snapshots of Complex Regions. ACM Trans. Spatial Algorithms Systems, 1(1):1-30, 2015. Google Scholar
  16. Mark Mckenney and James Webb. Extracting Moving Regions from Spatial Data. In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 438-441, San Jose, 2010. Google Scholar
  17. Q Meng, Z Fu, Y Huang, and M Shen. A FAST MATCHING APPROACH OF POLYGON FEATURES. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, I-2:45-49, July 2012. Google Scholar
  18. J. Moreira, P. Dias, and P. Amaral. Representation of continuously changing data over time and space: Modeling the shape of spatiotemporal phenomena. In Proceedings of the 2016 IEEE 12th International Conference on e-Science, e-Science 2016, 2017. Google Scholar
  19. Nikos Pelekis, Yannis Theodoridis, Spyros Vosinakis, and Themis Panayiotopoulos. Hermes - A Framework for Location-Based Data Managment. In EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology, pages 1130-1134, Munich, 2006. Google Scholar
  20. Majken K. Rasmussen, Esben W. Pedersen, Marianne G. Petersen, and Kasper Hornbæk. Shape-changing Interfaces: A Review of the Design Space and Open Research Questions. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '12, pages 735-744, New York, NY, USA, 2012. ACM. Google Scholar
  21. Vitaly Surazhsky and Craig Gotsman. High quality compatible triangulations. Engineering with Computers, 20:147-156, 2002. Google Scholar
  22. Erlend Tøssebro and Ralf Güting. Creating Representations for Continuously Moving Regions from Observations. In Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases, pages 321-344. Springer-Verlag Berlin Heidelberg, 2001. Google Scholar
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