Knowledge Discovery Services and Tools on Grids
The Grid is today mainly used for supporting high-performance computing intensive applications. However, it could be effectively exploited for deploying data-driven and knowledge discovery applications. To support this class of applications, tools and services for knowledge discovery are vital. The Knowledge Grid is an high-level system for providing Grid-based knowledge discovery services. These services allow professionals and scientists to create and manage complex knowledge discovery applications composed as workflows that integrate data sets and mining tools provided as distributed services on a Grid. They also allow users to store, share, and execute these knowledge discovery workflows as well as publish them as new components and services. The Knowledge Grid provides a higher level of abstraction of the Grid resources for knowledge discovery activities, thus allowing end users to concentrate on the knowledge discovery process without worrying about Grid infrastructure details.
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- 1.Foster, I., Kesselman, C., Nick, J.M., Tuecke, S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration. Technical report, http://www.globus.org/research/papers/ogsa.pdf (2002)
- 4.Cannataro, M., Congiusta, A., Talia, D., Trunfio, P.: A Data Mining Toolset for Distributed High-Performance Platforms. In: Proc. 3rd Int. Conference Data Mining 2002, pp. 41–50. WIT Press, Bologna (2002)Google Scholar
- 6.Cannataro, M., Comito, C.: A Data Mining Ontology for Grid Programming. In: Proc. 1st Int. Workshop on Semantics in Peer-to-Peer and Grid Computing, in conjunction with WWW 2003, Budapest, May 20–24 (2003)Google Scholar
- 8.Berman, F., Fox, G., Hey, A. (eds.): Grid computing: Making the Global Infrastructure a Reality. Wiley, Chichester (2003)Google Scholar
- 9.Kargupta, H., Chan, P. (eds.): Advances in Distributed and Parallel Knowledge Discovery. AAAI Press, Menlo Park (1999)Google Scholar