ACM Home Page
Please provide us with feedback. Feedback
Data warehouse architecture for GIS applications
Full text PdfPdf (519 KB)
Source International Conference on Information Integration and web-based Applications and Services archive
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services table of contents
Linz, Austria
SESSION: iiWAS 2008: Database and data warehouse table of contents
Pages 178-185  
Year of Publication: 2008
ISBN:978-1-60558-349-5
Authors
Mohammad Rifaie  Bradford University, West Yorkshire, UK
Erwin J. Blas  University of Calgary, Calgary, Alberta, Canada
Abdel Rahman M. Muhsen  University of Calgary, Calgary, Alberta, Canada
Terrance T. H. Mok  University of Calgary, Calgary, Alberta, Canada
Keivan Kianmehr  University of Calgary, Calgary, Alberta, Canada
Reda Alhajj  University of Calgary, Calgary, Alberta, Canada
Mick J. Ridley  Bradford University, West Yorkshire, UK
Sponsor
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 33,   Downloads (12 Months): 244,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1497308.1497344
What is a DOI?

ABSTRACT

Geo-data sets are built for use in geographical information systems (GIS). The data is modeled to suit the needs of data entry and visual representations. They are optimized for simplicity and speed of modification. These models do not lend themselves to efficiently produce enterprise reports. Hence, Geo-data sets can be very challenging to query and analyze. In this paper, we create a data warehouse (DW) for a geo-dataset to facilitate report generating processes. A data warehouse is attractive as the main repository of an organization's historical data and is optimized for reporting and analysis. For better understanding of the developed architecture, we cover the data warehouse construction process as well as the enterprise data model


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
ESRI GIS and Mapping Software. - U.S. Census Bureau. - 04 17, 2007. http://www.esri.com/data/download/census2000_tigerline/description.html.
 
2
ESRI GIS and Mapping Software. ESRI Press, 07 1998. www.esri.com/library/whitepapers/pdfs/shapefile.pdf.
 
3
 
4
Census 2000 Redistricting Data (Public Law 94--171) Summary File. - California: U.S. Census Bureau, 2001.
 
5
Census 2000 Summary File 1 United States. - California: U.S. Census Bureau, 2001.
6
 
7
ESRI Shapefile Technical Description, an ESRI White Paper, ESRI GIS and Mapping Software. - July 1998. http://www.esri.com/library/whitepapers/pdfs/shapefile.pdf.
 
8
Robson F., et al., GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas - Pernambuco: s.n., 2004.
 
9
 
10
Greenfield L., The Data Warehousing Information Center. LGI Systems Incorporated, 2006. www.dwinfocenter.org/
11
 
12
 
13
Kimball R. and Caserta J., The Data Warehouse ETL Toolkit- Indianapolis: Wiley Publishing, Inc., 2004.
 
14
Rifaei M., Kianmehr K., Ridley M. and Alhajj R., "Data Warehouse Architecture for GIS," Proceedings of IEEE International Conference on Information Reuse and Integration, Las Vegas, Jul. 2008.
15
16
17
18
 
19
Microsoft Corporation, Data Warehouse Design Considerations. Retrieved on January 2008 from http://www.microsoft.com/technet/prodtechnol/sql/2000/resk it/part5/c1761.mspx
20
21
22

Collaborative Colleagues:
Mohammad Rifaie: colleagues
Erwin J. Blas: colleagues
Abdel Rahman M. Muhsen: colleagues
Terrance T. H. Mok: colleagues
Keivan Kianmehr: colleagues
Reda Alhajj: colleagues
Mick J. Ridley: colleagues