Text mining in a digital library
Author(s) -
Ian H. Witten,
Katherine J. Don,
Michael Dewsnip,
Valentin Tablan
Publication year - 2004
Publication title -
international journal on digital libraries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.367
H-Index - 32
eISSN - 1432-5012
pISSN - 1432-1300
DOI - 10.1007/s00799-003-0066-4
Subject(s) - computer science , digital library , information retrieval , world wide web , literature , poetry , art
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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