ACM Home Page
Please provide us with feedback. Feedback
An OLAP system for network-constrained moving objects
Full text PdfPdf (168 KB)
Source Symposium on Applied Computing archive
Proceedings of the 2007 ACM symposium on Applied computing table of contents
Seoul, Korea
SESSION: Advances in spatial and image-based information systems table of contents
Pages: 13 - 18  
Year of Publication: 2007
ISBN:1-59593-480-4
Authors
Tao Wan  PRISM - Versailles University, Versailles Cedex, France
Karine Zeitouni  PRISM - University Versailles, Versailles Cedex, France
Xiaofeng Meng  Renmin University of China, Beijing, China
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 52,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1244002.1244006
What is a DOI?

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.

 
1
Ahmed T., Miquel M. Laurini R. Continuous Data Warehouse: Concepts, Challenges and Potentials. 12th Int. Conf. on Geoinformatics, 2004.
2
 
3
Brinkhoff T. Network-based Generator of Moving Objects. http://fh-oow.de/institute/iapg/personen/brinkhoff/generator/
 
4
Güting R. H. and Schneider M., Moving Objects Databases. Morgan Kaufmann Publishers, 2005.
5
 
6
 
7
 
8
Papadias D., Tao Y., Kalnis P., Zhang J., Indexing Spatio-Temporal Data Warehouses. ICDE, 166--175, 2002.
9
 
10
 
11
 
12
13
 
14

Collaborative Colleagues:
Tao Wan: colleagues
Karine Zeitouni: colleagues
Xiaofeng Meng: colleagues