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Presented at the Library Technology Conference 2011 in St. Paul, MN.
Program Description: Oral history collections provide a wealth of information, yet current practices in metadata creation and
access limit the amount of information within the interview transcripts that can be discovered. This
poster describes the Miami University Libraries current project of using Open Source Software in
creating enhanced access to our Oral History collection. The Oral History Project at Miami University contains over 100 interviews pertaining to experiences at the University, with transcripts for over half of
the interviews. The poster will describe the process of batch processing transcripts using OpenCalais, a web service that automates the creation of metadata for content using natural language processing and machine learning, and displaying both the transcripts and metadata in the content management system Drupal using various modules. We will discuss the results from the comparison of machine generated
and human generated metadata in this project and the benefits and concerns surrounding both methods. Future project developments will also be included.