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Abstract and discrete modeling of spatio-temporal data types
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Proceedings of the 6th ACM international symposium on Advances in geographic information systems table of contents
Washington, D.C., United States
Pages: 131 - 136  
Year of Publication: 1998
ISBN:1-58113-115-1
Authors
Martin Erwig  Praktische Informatik IV, Femuniversität Hagen, D-58084 Hagen, GERMANY
Ralf Hartmut Güting  Praktische Informatik IV, Femuniversität Hagen, D-58084 Hagen, GERMANY
Markus Schneider  Praktische Informatik IV, Femuniversität Hagen, D-58084 Hagen, GERMANY
Michalis Vazirgiannis  Dept of Informatics, Athens Univ. of Economics & Business, Patision 76, 10434, Athens, GREECE
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
SIGMIS: ACM Special Interest Group on Management Information Systems
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 48,   Citation Count: 12
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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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Etwig, M., R.H. Gating, M. Schneider, and M. Vaz~rgfiannis, Spatio-Temporal Data Types: An Approach to Modeling and Querying Moving Objects in Databases. Technical Report 224, FemUniversit~t Hagen, Dec. 1997.
 
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Gating, 1LH., M.I-L B~hlen, M. Erwig, C.S. Jensen, N. Lorentzos, M. Schneider, and M. Vazirgiannis, A Foundation for Representing and Querying Spafio- Temporal Data. Manuscript in preparation, 1998.
 
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Gadia, S.K., V. Chopra, and U.S. Tun, An SQL-Like Seamless Query of Spatio-Temporal Data. Int. Workshop on an Infrastructure for Temporal Databases, 0-1 - Q-20, 1993.
 
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Peuquet, DJ., and N. Duan, An Event-Based Spatiotemporal Data Model (F_3~M)for Temporal Analysis of Geographical Data. Int. Journal of Geographicat Information Systems, vol. 9, no. 1, 7-24, 1995.
 
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Worboys, M.F., A Unified Model for Spatial and Temporal Information. The Computer Journal, vol. 37, no. 1, 27-34, 1994.
 
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Yeh, T.S., and B. de Cambmy, Time as a Geometric Dimension for Modeling the Evolution of Entities: A 3D Approach. 2nd Int. Conf. on Integrating GIS and Environmental Modeling, 1993.
 
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Yeh, T.S., and B. de Cambray, Modeling Highly Variable Spatio-Temporal Data. 6th AustraliAsian Database Conf., 221-230, 1995.

CITED BY  12

Collaborative Colleagues:
Martin Erwig: colleagues
Ralf Hartmut Güting: colleagues
Markus Schneider: colleagues
Michalis Vazirgiannis: colleagues