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2006
Conference Paper
Titel
Text mining on the grid
Abstract
Text mining is inherently more computation-intensive than information retrieval on pre-structured data and requires transfer and filtering of huge amounts of data. Grid environments provide the infrastructure for accomplishing these tasks. We present the mapping and implementation of a standard text mining (TM) workflow for analysis of biomedical text data from PubMed to a UNICORE Grid environment with multiple PC-clusters. Both the gain in applicability and the open issues of our solution are discussed.