Witten, Ian H.Don, Katherine J.Dewsnip, MichaelTablan, Valentin2008-11-112008-11-112004Witten, 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.https://hdl.handle.net/10289/1298Digital 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.application/pdfenThis is an author’s version of an article published in the International Journal on Digital Libraries, (c) 2004 Springer Berlin.computer sciencetext miningdigital librariesinformation extractionGATEGreenstoneMachine learningText mining in a digital libraryJournal Article10.1007/s00799-003-0066-4