This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Velo: A Knowledge-Management Framework for Modeling and Simulation
March-April 2012 (vol. 14 no. 2)
pp. 12-23
ASCII Text
x 
 
Ian Gorton, Chandrika Sivaramakrishnan, Gary Black, Signe White, Sumit Purohit, Carina Lansing, Michael Madison, Karen Schuchardt, Yan Liu, "Velo: A Knowledge-Management Framework for Modeling and Simulation," Computing in Science and Engineering, vol. 14, no. 2, pp. 12-23, March-April, 2012.
 
 
BibTex
x
 
@article{ 10.1109/MCSE.2011.116,
author = {Ian Gorton and Chandrika Sivaramakrishnan and Gary Black and Signe White and Sumit Purohit and Carina Lansing and Michael Madison and Karen Schuchardt and Yan Liu},
title = {Velo: A Knowledge-Management Framework for Modeling and Simulation},
journal ={Computing in Science and Engineering},
volume = {14},
number = {2},
issn = {1521-9615},
year = {2012},
pages = {12-23},
doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2011.116},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computing in Science and Engineering
TI - Velo: A Knowledge-Management Framework for Modeling and Simulation
IS - 2
SN - 1521-9615
SP12
EP23
EPD - 12-23
A1 - Ian Gorton,
A1 - Chandrika Sivaramakrishnan,
A1 - Gary Black,
A1 - Signe White,
A1 - Sumit Purohit,
A1 - Carina Lansing,
A1 - Michael Madison,
A1 - Karen Schuchardt,
A1 - Yan Liu,
PY - 2012
KW - Knowledge management
KW - content management
KW - scientific modeling
KW - simulation
KW - scientific computing
VL - 14
JA - Computing in Science and Engineering
ER -
 
Ian Gorton, Pacific Northwest National Laboratory
Chandrika Sivaramakrishnan, Pacific Northwest National Laboratory
Gary Black, Pacific Northwest National Laboratory
Signe White, Pacific Northwest National Laboratory
Sumit Purohit, Pacific Northwest National Laboratory
Carina Lansing, Pacific Northwest National Laboratory
Michael Madison, Pacific Northwest National Laboratory
Karen Schuchardt, Pacific Northwest National Laboratory
Yan Liu, Pacific Northwest National Laboratory

Velo is a reusable, domain-independent knowledge-management infrastructure for modeling and simulation. Velo leverages, integrates, and extends Web-based open source collaborative and data-management technologies to create a scalable and flexible core platform tailored to specific scientific domains. As the examples here describe, Velo has been used in both the carbon sequestration and climate modeling domains.

1. M.A. Heroux, "Software Challenges for Extreme-Scale Computing: Going from Petascale to Exascale Systems," Int'l J. High Performance Computing Applications, vol. 23, no. 4, 2009, pp. 437–439.
2. L. Yogesh et al., "A Survey of Data Provenance in e-Science," ACM SIGMOD Record, vol. 34, no. 3, 2005, pp. 31–36.
3. Y. Gil et al., "Examining the Challenges of Scientific Workflows," Computer, vol. 40, no. 12, 2007, pp. 24–32.
4. R. Moore, "Data Management Systems for Scientific Applications," Proc. IFIP TC2/WG2.5 Working Conf. Architecture of Scientific Software, Kluwer, 2000, pp. 273–284.
5. M. Earl, "Knowledge Management Strategies: Toward a Taxonomy," J. Management Information Systems, vol. 18, no. 1, 2001, pp. 215–223.
6. S. Bitzer, S. Ramroth, and M. Schumann, "Mashups as an Architecture for Knowledge Management Systems," Proc. 42nd Hawaii Int'l Conf. System Sciences, IEEE Press, 2009; doi:10.1109/HICSS.2009.302.
7. I. Gorton et al., "Components in the Pipeline," IEEE Software, vol. 28, no. 3, 2011, pp. 34–40.
1. D. Flannery et al., "ICAT: Integrating Data Infrastructure for Facilities Based Science," Proc. 2009 5th IEEE Int'l Conf. e-Science, IEEE CS, 2009, pp. 201–207.
2. C. Baru et al., "The SDSC Storage Resource Broker," Proc. 1998 Conf. Centre for Advanced Studies on Collaborative Research, IBM, 1998, p. 5.
3. K.L. Schuchardt, B.T. Didier, and G.D. Black, "ECCE—A Problem-Solving Environment's Evolution Toward Grid Services and a Web Architecture," Concurrency and Computation: Practice and Experience, vol. 14, nos. 13–15, 2002, pp. 1221–1239.
4. A.R. Shah et al., "An Extensible, Scalable Architecture for Managing Bioinformatics Data and Analyses," IEEE Fourth Int'l Conf. e-Science, IEEE CS, 2008, pp. 190–197.
5. J. Schwidder, T. Talbott, and J. Myers, "Bootstrapping to a Semantic Grid," IEEE Int'l Symp. Cluster Computing and the Grid, IEEE Press, vol. 1, 2005, pp. 176–181.
6. C. Hirsch et al., "The Visual Wiki: A New Metaphor for Knowledge Access and Management," Proc. 42nd Hawaii Int'l Conf. System Sciences, IEEE Press, 2009; doi:10.1109/HICSS.2009.459.
7. P. Mika, "Flink: Semantic Web Technology for the Extraction and Analysis of Social Networks," J. Web Semantics, vol. 3, nos. 2–3, 2005, pp. 211–223.
8. S. Jeschke et al., "Knowledge Base Concepts in the KEA System Combined with Social Networking Techniques," Proc. 42nd Hawaii Int'l Conf. System Sciences, IEEE Press, 2009; doi:10.1109/HICSS.2009.285.
9. S. Bitzer, S. Ramroth, and M. Schumann, "Mashups as an Architecture for Knowledge Management Systems," Proc. 42nd Hawaii Int'l Conf. System Sciences, IEEE Press, 2009; doi:10.1109/HICSS.2009.302.
10. M. Lindvall, I. Rus, and S. Sinha, "Software Systems Support for Knowledge Management," J. Knowledge Management, vol. 7, no. 5, 2003, pp. 137–150.

Index Terms:
Knowledge management, content management, scientific modeling, simulation, scientific computing
Citation:
Ian Gorton, Chandrika Sivaramakrishnan, Gary Black, Signe White, Sumit Purohit, Carina Lansing, Michael Madison, Karen Schuchardt, Yan Liu, "Velo: A Knowledge-Management Framework for Modeling and Simulation," Computing in Science and Engineering, vol. 14, no. 2, pp. 12-23, March-April 2012, doi:10.1109/MCSE.2011.116
Usage of this product signifies your acceptance of the Terms of Use.