Text mining in a digital library
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This is an author’s version of an article published in the International Journal on Digital Libraries, (c) 2004 Springer Berlin.
Abstract
Digital library strive to add value to the collections they create and maintain. One way is through selectivity: a carefully chosen set of authoritative documents in a particular topic area is far more useful to those working in the area than a huge, unfocused collection (like the Web). Another is by augmenting the collection with high- quality metadata, which supports activities of searching and browsing in a uniform and useful way. A third way, and our topic here, is to enrich the documents by examining their content, extracting information, and using it to enhance the ways they can be located and presented.
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Witten, I.H., Don, Katherine J., Dewship, M. & Tablan, V. (2004). Text mining in a digital library. International Journal on Digital Libraries, 4(1), 56-59.
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Springer