Browsing around a Digital Library: Today and Tomorrow

  • Ian H. Witten
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1848)


What will it be like to work in tomorrow’s digital library? We begin by browsing around an experimental digital library of the present, glancing at some collections and showing how they are organized. Then we look to the future. Although present digital libraries are quite like conventional libraries, we argue that future ones will feel qualitatively different. Readers—and writers—will work in the library using a kind of context-directed browsing. This will be supported by structures derived from automatic analysis of the contents of the library—not just the catalog, or abstracts, but the full text of the books and journals—using new techniques of text mining.


Digital Library Text Mining Document Collection Access Structure Source Document 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Akscyn, R.M. and Witten, I.H. (1998) “Report on First Summit on International Cooperation on Digital Libraries.”
  2. 2.
    Bush, V. (1947) “As we may think.” The Atlantic Monthly, Vol. 176, No. 1, pp. 101–108.Google Scholar
  3. 3.
    Chang, S.J. and Rice, R.E. (1993) “Browsing: A multidimensional framework.” Annual Review of Information Science and Technology, Vol. 28, pp. 231–276.Google Scholar
  4. 4.
    Fox, E. (1998) “Digital library definitions.”
  5. 5.
    Frank, E., Paynter, G.W., Witten, I.H., Gutwin, and Nevill-Manning, C. (1999) “Domain-specific keyphrase extraction.” Proc Int Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 668–673.Google Scholar
  6. 6.
    Gutwin, C., Paynter, G., Witten, I.H., Nevill-Manning, C., and Frank, E. (in press) “Improving browsing in digital libraries with keyphrase indexing.” Decision Support Systems.Google Scholar
  7. 7.
    Jones, S. (1999) “Phrasier: An interactive system for linking and browsing within document collections using keyphrases.” Proc. Interact 99: Seventh IFIP Conference On Human-Computer Interaction, Edinburgh, Scotland, pp. 483–490.Google Scholar
  8. 8.
    Licklider, J.C.R. (dy1960) “Man-computer symbiosis.” IRE Trans HFE-1, pp. 4–11.Google Scholar
  9. 9.
    Mann, T. (1993) Library research models. Oxford University Press, NY.Google Scholar
  10. 10.
    McNab, R.J., Witten, I.H. and Boddie, S.J. (1998) “A distributed digital library architecture incorporating different index styles.” Proc. IEEE Advances in Digital Libraries, Santa Barbara, CA, pp. 36–45.Google Scholar
  11. 11.
    Nevill-Manning, C.G., Witten, I.H. and Paynter, G.W. (1997) “Browsing in digital libraries.” Proc. ACM Digital Libraries 97, pp. 230–236.Google Scholar
  12. 12.
    Nevill-Manning, C.G., Reed, T., and Witten, I.H. (1998) “Extracting text from PostScript.” Software—Practice and Experience, Vol. 28, No. 5, pp. 481–491.CrossRefGoogle Scholar
  13. 13.
    Paynter, G.W., Witten, I.H., Cunningham, S.J. and Buchanan, G. (2000) “Scalable browsing for large collections: A case study.” Proc. Digital Libraries 2000, Austin, TX.Google Scholar
  14. 14.
    Wells, H.G. (1938) World Brain. Doubleday, NY.Google Scholar
  15. 15.
    Witten, I.H., Moffat, A., and Bell, T.C. (1999) Managing Gigabytes: Compressing and indexing documents and images. Morgan Kaufmann, San Francisco.Google Scholar
  16. 16.
    Witten, I.H., Bray, Z., Mahoui, M. and Teahan, W. (1999) “Text mining: A new frontier for lossless compression.” Proc. Data Compression Conference, pp. 198–207.Google Scholar
  17. 17.
    Witten, I.H., McNab, R.J., Boddie, S.J. and Bainbridge, D. (2000) “Greenstone: a comprehensive open-source digital library software system.” Proc. ACM Digital Libraries, San Antonio, TX.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Ian H. Witten
    • 1
  1. 1.Department of Computer ScienceUniversity of WaikatoHamiltonNew Zealand

Personalised recommendations