In the past few years, Knowledge discovery communities have contributed a rich set of methods and tools that had been used for the analysis of large data sets. On the other hand, Grids are increasingly being used for collaborative work. Grid users would similarly benefit from having access to databases, mainly, those involved in collaborative data analysis of large datasets and those requiring sharing of data. OGSA-DAI provides an extension to the OGSA framework by allowing access to and integration of data held in heterogeneous data resources. In this paper we survey some issues, which focus on the extension of the Grid technology to Knowledge Discovery Services that are designed and being implemented on top of OGSA-DAI Grid Services. The proposed architecture defines a set of additional layers to implement the services of distributed knowledge discovery process. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Zhan, J., & Li, L. (2006). A framework and survey of knowledge discovery services on the OGSA-DAI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3842 LNCS, pp. 605–609). https://doi.org/10.1007/11610496_80
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