Ryan Richardson
Edward A. Fox
ABSTRACT
Project Gutenburg, the Million Book Project, the Networked Digital Library of Theses and Dissertations, Amazon's book search service, and the recently announced collaboration of Google and leading libraries, all aim to make available large numbers of book-length objects, in a variety of languages. Traditional approaches to discovering a suitable book for a particular purpose have generally relied on catalog records, sometimes enhanced with abstracts. Full-text searching - popular, e.g., with legal and government documents - and passage retrieval techniques, suitable for encyclopedias and reference works, have not been adequately tested with large collections of large objects.
- Agrawal, R. and Srikant, R. Fast Algorithms for Mining Association Rules in Large Databases. Presented at 20th International Conference on Very Large Databases (VLDB'94), Santiago, Chile, Sept. 1994. Google Scholar
Digital Library
- Chmielewski, T. L. and Dansereau, D. F. Enhancing the recall of text: Knowledge mapping training promotes implicit transfer. Journal of Educational Psychology, vol. 90(3), pp. 407--413, Sept. 1998.Google ScholarCross Ref
- Liu, H. "MontyTagger", 1.2 ed. Cambridge, Mass, 2003. http://web.media.mit.edu/~hugo/montytagger/.Google Scholar
- Novak, J. D. and Gowin, D. B. Learning How To Learn. Cambridge, UK, Cambridge University Press, 1984.Google ScholarCross Ref
Index Terms
- Using concept maps as a cross-language resource discovery tool for large documents in digital libraries
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