loading...
An Architecture for Dynamic Data Source Integration
Big Island, Hawaii January 03-January 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.2005.80Proceedings of the 38th Annual Hawaii ...
 This Article 
 
PURCHASE ARTICLE: $0
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Ian Gorton, National ICT Australia, Eveleigh, Australia
Justin Almquist, Pacific Northwest National Laboratory, Richland, WA
Kevin Dorow, Pacific Northwest National Laboratory, Richland, WA
Peng Gong, University of Sydney, Australia
Dave Thurman, Pacific Northwest National Laboratory, Richland, WA
Integrating multiple heterogeneous data sources in to applications is a time-consuming, costly and error-prone engineering task. Relatively mature technologies exist that make integration tractable from an engineering perspective. These technologies however have many limitations, and hence present opportunities for breakthrough research. This paper briefly describes some of these limitations. It then provides an overview of the Data Concierge research project and prototype that is attempting to provide solutions to some of these limitations. The paper focuses on the core architecture and mechanisms in the Data Concierge for dynamically attaching to a previously unidentified source of information. The generic API supported by the Data Concierge is described, along with the architecture and prototype tools for describing the meta-data necessary to facilitate dynamic integration. In addition, we describe the outstanding challenges that remain to be solved before the Data Concierge concept can be realized.
Citation:
Ian Gorton, Justin Almquist, Kevin Dorow, Peng Gong, Dave Thurman, "An Architecture for Dynamic Data Source Integration," hicss, vol. 9, pp.276c, Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 9, 2005
Usage of this product signifies your acceptance of the Terms of Use.