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A framework of Web-based text mining on the grid

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4 Author(s)
Lean Yu ; Acad. of Math. & Syst. Sci., Chinese Acad. of Sci., Beijing, China ; Shouyang Wang ; Kin Keung Lai ; Yue Wu

This study proposes a novel Web-based text mining (WTM) framework on the grid, which firstly applies the grid technology to text mining system for improving the performance of WTM. The WTM system is to implement a high performance text mining process on the grid, and provide users with a high efficiency text mining and knowledge discovery services. We focus our discussion on the formulation of this framework for WTM system on the grid. In this study, firstly, a general framework of grid-based WTM is proposed, then a main process about WTM on the grid is described, and subsequently the implementation of the proposed grid-based WTM framework model is given. Finally, some conclusions are given.

Published in:

International Conference on Next Generation Web Services Practices (NWeSP'05)

Date of Conference:

22-26 Aug. 2005