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Aggregation languages for moving object and places of interest
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Proceedings of the 2008 ACM symposium on Applied computing table of contents
Fortaleza, Ceara, Brazil
SESSION: Advances in spatial and image-based information systems table of contents
Pages 857-862  
Year of Publication: 2008
ISBN:978-1-59593-753-7
Authors
Leticia I. Gómez  Instituto Techólogico de de Buenos Aires, Argentina
Bart Kuijpers  University of Hasselt, Diepenbeek, Belgium
Alejandro A. Vaisman  Universidad de Buenos Aires, Argentina
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

We address aggregate queries over GIS data and moving object data, where non-spatial information is stored in a data warehouse. We propose a formal data model and query language to express complex aggregate queries. Next, we study the compression of trajectory data, produced by moving objects, using the notions of stops and moves. We show that stops and moves are expressible in our query language and we consider a fragment of this language, consisting of regular expressions to talk about temporally ordered sequences of stops and moves. This fragment can be used not only for querying, but also for expressing data mining and pattern matching tasks over trajectory data.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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M. L. Damiani, J. A. Fernandes de Macedo, C. Parent, F. Porto, and S. Spaccapietra. A conceptual view of trajectories. Technical Report, Ecole Polythecnique Federal de Lausanne, April 2007, 2007.
 
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L. Gómez, S. Haesevoets, B. Kuijpers, and A. Vaisman. Spatial aggregation: Data model and implementation. In Submitted for review, 2006.
 
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R. H. Güting and M. Schneider. Moving Objects Databases. Morgan Kaufman, 2005.
 
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B. Kuijpers and A. Vaisman. A data model for moving objects supporting aggregation. In Proceedings of the First International Workshop on Spatio-Temporal Data Mining (STDM'07), Istambul, Turkey, 2007.
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N. Meratnia and R. de By. Aggregation and comparison of trajectories. In Proceedings of the 26th VLDB Conference, Virginia, USA, 2002.
 
10
 
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Th. Ott and Fr. Swiaczny. Time-integrative Geographic Information Systems-Management and Analysis of Spatio-Temporal Data. Springer, 2001.
 
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D. Papadias, Y. Tao, J. Zhang, N. Mamoulis, Q. Shen, and J. Sun. Indexing and retrieval of historical aggregate information about moving objects. IEEE Data Eng. Bull., 25(2):10--17, 2002.
 
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J. Paredaens, G. Kuper, and L. Libkin, editors. Constraint databases. Springer-Verlag, 2000.
 
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P. Rigaux, M. Scholl, and A. Voisard. Spatial Databases. Morgan Kaufmann, 2002.
 
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Collaborative Colleagues:
Leticia I. Gómez: colleagues
Bart Kuijpers: colleagues
Alejandro A. Vaisman: colleagues