| An OLAP system for network-constrained moving objects |
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Symposium on Applied Computing
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Proceedings of the 2007 ACM symposium on Applied computing
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Seoul, Korea
SESSION: Advances in spatial and image-based information systems
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Pages: 13 - 18
Year of Publication: 2007
ISBN:1-59593-480-4
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Authors
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Tao Wan
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PRISM - Versailles University, Versailles Cedex, France
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Karine Zeitouni
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PRISM - University Versailles, Versailles Cedex, France
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Xiaofeng Meng
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Renmin University of China, Beijing, China
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Downloads (6 Weeks): 5, Downloads (12 Months): 52, Citation Count: 0
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ABSTRACT
The continued advances in mobile devices, geo-location wireless sensors and positioning technologies have led to a profusion of Moving Object (MO) data. However, conventional On-Line Analytical Processing (OLAP) systems cannot be applied to MO analysis because the position dimension evolves continuously over time. In this paper, we consider the representation of network-constrained MOs in OLAP systems and make the three following contributions: (i) We introduce a logical model to support continuous dimensions and facts. (ii) We propose an efficient data structure to index moving objects. (iii) Based on this index structure, we describe an algorithm which optimizes OLAP queries for analyzing MOs.
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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