Rob Sanderson

Using the TeraGrid1 and the SRB DataGrid2, we have sufficient computational and storage facilities to run normally prohibitively expensive processing tasks. By integrating text and data mining tools3[4] within the Cheshire35 information architecture, we can parse the natural language present in 20 million MARC records (the University of California’s MELVYL collection) and extract information to provide to search/retrieve applications. In this talk, we’ll discuss the results of applying new techniques to ‘old’ data.

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Rob Sanderson, (