Text Mining Grid Services for Multiple Environments
Antonio Anddre Serpa (COPPE/UFRJ)
Valeriana Roncero (COPPE/UFRJ)
Myrian Costa (COPPE/UFRJ)
Nelson Ebecken (COPPE/UFRJ)
The objective of this paper is to describe the implementation of text mining grid services for Auri Project, which is a framework that includes a friendly user interface, data and text mining tasks, database access and a visualization tool integrated with various grid environments. The focus is the development and test of components for analysis and evaluation of unstructured data into distinct grid environments. These components will be grid services for text mining processes using several approaches of execution, depending on which grid environment the user choose to submit. All components are open source and are freely available to the scientific community, providing access to existing services as well as encouraging the addition of new ones.
Data-intensive Grid applications, Grid data integration
Toulouse | France | 2008 | June | 24  25  26  27