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JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: May 2024
Next issue: Aug 2024
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2009 - 2

 HIGHLY CITED PAPER 

GEOBARN: A Practical Grid Geospatial Database System

HUANG, Z. See more information about HUANG, Z. on SCOPUS See more information about HUANG, Z. on IEEExplore See more information about HUANG, Z. on Web of Science, FANG, Y. See more information about  FANG, Y. on SCOPUS See more information about  FANG, Y. on SCOPUS See more information about FANG, Y. on Web of Science, XIE, X. See more information about  XIE, X. on SCOPUS See more information about  XIE, X. on SCOPUS See more information about XIE, X. on Web of Science, PAN, M. See more information about PAN, M. on SCOPUS See more information about PAN, M. on SCOPUS See more information about PAN, M. on Web of Science
 
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Download PDF pdficon (939 KB) | Citation | Downloads: 1,568 | Views: 5,731

Author keywords
distributed database, grid computing, GIS

References keywords
data(12), spatial(6), information(6), geospatial(6), system(4), knowledge(4), distributed(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2009-10-26
Volume 9, Issue 3, Year 2009, On page(s): 7 - 11
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.03002
Web of Science Accession Number: 000271872000002
SCOPUS ID: 77954684261

Abstract
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Recently, more and more geospatial data are generated and distributed with the promising data acquirement techniques like satellite imaging and digital cartography. So, it is an important issue to effectively make use of these huge geospatial data resources. This means that effective data processing technologies need to be developed to support distributed query and analysis operations onto the distributed resources. The emergence of grid computing technology offers a good solution to accomplish this goal. To combine the grid computing technique with geospatial database we design and implement a GGDS (Grid Geospatial Database System) prototype named GEOBARN. Key modules and detailed implementation methods of GEOBARN are discussed in this paper. By using the GEOBARN system, both reliable data management and effective distributed geospatial query can be achieved.


References | Cited By  «-- Click to see who has cited this paper

[1] M. Erwig, M. Schneider and R.H. Guting, "Temporal Objects for Geospatial Data Models and a Comparison of Their Representations", Proceedings of the Workshops on Data Warehousing and Data Mining (1998)

[2] Y. Xue, A.P. Cracknell and H.D. Guo, "Telegeoprocessing: The integration of remote sensing, geographic information system (GIS), global positioning system (GPS) and telecommunication", International Journal of Remote Sensing. 23: 1851-1893 (2002)
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 37]


[3] Z. Shen, J. Luo and C. Zhou, "Architecture design of grid GIS and its applications on image processing based on LAN", Information Sciences. 166:1-17 (2004)
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 48]


[4] I. Foster, C. Kesselman, J.M. Nick and S. Tuecke "Grid services for distributed system integration", Computer. 6:37-46 (2002)
[CrossRef] [Web of Science Times Cited 639] [SCOPUS Times Cited 1055]


[5] "The Globus Project Argonne National Laboratory USC Information Sciences Institute: Grid Architecture", Available from: http://www.globus.org

[6] N. Giannadakis, A. Rowe, M. Ghanem, Y. K. Guo, "InfoGrid: providing information integration for knowledge discovery", Information Sciences. 155:199-226 (2003)
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 30]


[7] C.C. Aggarwal, "A framework for diagnosing changes in evolving data streams", Proceedings of the 2003 ACM SIGMOD international conference on Management of data (2003)
[CrossRef]


[8] H. Cao, O. Wolfson and G. Trajcevski, "Geospatial data reduction with deterministic error bounds", Proceedings of the 2003 joint workshop on Foundations of mobile computing (2003)

[9] M. J. Egenhofer, "Spatial SQL, A query and presentation language", IEEE Transactions on Knowledge and Data Engineering. 6(1): 86-95 (1994)
[CrossRef] [Web of Science Times Cited 166] [SCOPUS Times Cited 242]


[10] S.K. Harms, J. Deogun, S. Goddard, "Building knowledge discovery into a geo-spatial decision support system", Proceedings of the 2003 ACM symposium on Applied computing (2003)
[CrossRef]


[11] C.R. Lin, K.H. Liu, M.S. Chen, "Dual Clustering: Integrating Data Clustering over Optimization and Constraint Domains", IEEE Transactions on Knowledge and Data Engineering. 17(5): 39-48 (2005)
[CrossRef] [Web of Science Times Cited 43] [SCOPUS Times Cited 68]


[12] K. Hornsby, "Workshop Report - International Workshop on Temporal, Spatial, and Geospatial Data Mining", Proceedings of the First International Workshop on Temporal, Spatial, and Geospatial Data Mining (2000)

[13] Z. Huang, Y. Fang, B. Chen, D. Yin and X. Peng, "A Global View Oriented Approach to Directory Management in Distributed Spatial Database", Proceedings of SPIE-The International Society for Optical Engineering, Vol.6418, GNSS and Integrated Geospatial Applications. 64181O (2006)
[CrossRef] [Web of Science Record] [SCOPUS Times Cited 4]


[14] L. Savary, T. Wan and K. Zeitouni, "Geospatial Data Warehouse Design for Human Activity Pattern Analysis", Proceedings of the Database and Expert Systems Applications, 15th International Workshop (2004)

[15] Z. Huang, B. Chen and Y. Fang, "An SQL Transformation Based Optimization Algorithm of Distributed Spatial Query", High Technology Letters. 17(10): 1013-1018(2007)

[16] Z. Huang, X. Peng and K. Zhang. "An Approach to Geographic SQL Global Parsing under Distributed Computation Circumstance", Geography and Geographic Information Science. 21(3): 18-21(2006)



References Weight

Web of Science® Citations for all references: 924 TCR
SCOPUS® Citations for all references: 1,484 TCR

Web of Science® Average Citations per reference: 54 ACR
SCOPUS® Average Citations per reference: 87 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-06-13 02:02 in 63 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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