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"One of the scripts which I wrote as a mashup demonstration used the New York Times Bestseller API to add Best Seller indicators and links to a full record screen being generated via data from the WorldCat Search API. Michael Beccaria at Paul Smith College in upstate NY has taken my prototype script and revamped and incorporated it into their VuFind powered library catalog."

When a library end-user searches the online catalogue for works by a particular author, he will typically get a long list that contains different translations and editions of all the books by that author, sorted by title or date of issue. As an attempt to make some order in this chaos, the Pode project has applied a method of automated FRBRizing based on the information contained in MARC records. The project has also experimented with RDF representation to demonstrate how an author's complete production can be presented as a short and lucid list of unique works, which can easily be browsed by their different expressions and manifestations. Furthermore, by linking instances in the dataset to matching or corresponding instances in external sets, the presentation has been enriched with additional information about authors and works.