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The first part of this talk describes the different steps involved in the text pre-processing to calculate an accurate TFIDF value for each item of the corpus. The results and statistical analysis are discussed in the second part. Finally I will outline the remaining work such as refining the analysis and extending the current quantitative process to a web implementation.
== UNR BookFinder: Leveraging Google Books to Move Beyond Catalog Search ==
* Will Kurt, University of Nevada, Reno, (wkurt at unr.edu)
Google Books is a great tool, but it lacks an easy method allowing users to access the items they find through their library. The UNR BookFinder is a mashup of the Google Books and WorldCat APIs (and some ugly hacks) which allows users to search for items with the power of Google’s fulltext search while eliminating the need to search all of the library’s various resources to find an item. The UNR BookFinder automatically searches the catalog and consortial ILL for the item, if these fail an ILLiad request form as automatically filled out. The end result is that the user can explore an universe of books and access them as fast as possible through the university library. A video of the alpha version can be found [http://www.youtube.com/watch?v=qaqcUSTtdVk here].