Beyond Digital Incunabula: Modeling the Next Generation of Digital Libraries

  • Gregory Crane
  • David Bamman
  • Lisa Cerrato
  • Alison Jones
  • David Mimno
  • Adrian Packel
  • David Sculley
  • Gabriel Weaver
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4172)


This paper describes several incunabular assumptions that impose upon early digital libraries the limitations drawn from print, and argues for a design strategy aimed at providing customization and personalization services that go beyond the limiting models of print distribution, based on services and experiments developed for the Greco-Roman collections in the Perseus Digital Library. Three features fundamentally characterize a successful digital library design: finer granularity of collection objects, automated processes, and decentralized community contributions.


Digital Library Machine Translation Document Analysis System Athenian Democracy National Science Digital Library 
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.


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  1. 1.
    Baird, H.S., Govindaraju, V., Lopresti, D.P.: Document analysis systems for digital libraries: Challenges and opportunities. In: Document Analysis Systems, pp. 1–16 (2004)Google Scholar
  2. 2.
    Beagrie, N.: Plenty of room at the bottom? Personal digital libraries and collections. D-Lib Magazine 11(6) (2005),
  3. 3.
    Bradley, J.: Documents and data: Modelling materials for humanities research in XML and relational databases. Literary and Linguistic Computing 20(1) (2005)Google Scholar
  4. 4.
    Burkard, M.A.B.: Collaboration on medieval charters–Wikipedia in the humanities. In: Proceedings of the XVI International Conference of the Association for History and Computing, pp. 91–94 (2005)Google Scholar
  5. 5.
    Cohen, D.J., Rosenzweig, R.: Web of lies? Historical knowledge on the internet. First Monday 10(12) (December 2005),
  6. 6.
    Crane, G.: Cultural heritage digital libraries: Needs and components. In: Agosti, M., Thanos, C. (eds.) ECDL 2002. LNCS, vol. 2458, p. 626. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  7. 7.
    Crane, G., Chavez, R.F., Mahoney, A., Milbank, T.L., Rydberg-Cox, J.A., Smith, D.A., Wulfman, C.E.: Drudgery and deep thought: Designing a digital library for the humanities. Communications of the ACM 44(5), 35–40 (2001)CrossRefGoogle Scholar
  8. 8.
    Crane, G., Wulfman, C.E., Cerrato, L.M., Mahoney, A., Milbank, T.L., Mimno, D., Rydberg-Cox, J.A., Smith, D.A., York, C.: Towards a cultural heritage digital library. In: JCDL, Houston, TX, pp. 75–86 (June 2003)Google Scholar
  9. 9.
    Dekhtyar, A., Iacob, I.E., Jaromczyk, J.W., Kiernan, K., Moore, N., Porter, D.C.: Support for XML markup of image-based electronic editions. International Journal on Digital Libraries 6(1), 55–69 (2006)CrossRefGoogle Scholar
  10. 10.
    Downie, J.S., Unsworth, J., Yu, B., Tcheng, D., Rockwell, G., Ramsay, S.J.: A revolutionary approach to humanities computing?: Tools development and the D2K data-mining framework. In: Annual Joint Conference of The Association for Computers and the Humanities & The Association for Literary and Linguistic Computing (2005)Google Scholar
  11. 11.
    Esposito, F., Malerba, D., Semeraro, G., Ferilli, S., Altamura, O., Basile, T.M.A., Berardi, M., Ceci, M., Di Mauro, N.: Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation. In: DIAL, vol. 1, pp. 328–335. IEEE Computer Society, Los Alamitos (2004)Google Scholar
  12. 12.
    Gey, F.C., Kando, N., Peters, C.: Cross-language information retrieval: the way ahead. Information Processing and Management 41(3), 415–431 (2005)CrossRefGoogle Scholar
  13. 13.
  14. 14.
  15. 15.
  16. 16.
  17. 17.
  18. 18.
  19. 19.
  20. 20.
  21. 21.
  22. 22.
  23. 23.
    Ioannidis, Y.E., Maier, D., Abiteboul, S., Buneman, P., Davidson, S.B., Fox, E.A., Halevy, A.Y., Knoblock, C.A., Rabitti, F., Schek, H.J., Weikum, G.: Digital library information-technology infrastructures. International Journal on Digital Libraries 5(4), 266–274 (2005)CrossRefGoogle Scholar
  24. 24.
    Krowne, A.: Building a digital library the commons-based peer production way. D-Lib Magazine 9(10) (2003),
  25. 25.
    Krowne, A., Halbert, M.: An initial evaluation of automated organization for digital library browsing. In: JCDL, pp. 246–255. ACM Press, New York (2005)Google Scholar
  26. 26.
    Lagoze, C., Krafft, D.B., Payette, S., Jesuroga, S.: What is a digital library anymore, anyway? Beyond search and access in the NSDL. D-Lib 11(11) (2005),
  27. 27.
    Lagoze, C., Payette, S., Shin, E., Wilper, C.: Fedora: an architecture for complex objects and their relationships. Int. J. Digit. Libr. 6(2), 124–138 (2006)CrossRefGoogle Scholar
  28. 28.
    Lesk, M.: The qualitative advantages of quantities of information: Bigger is better. J. Zhejiang Univ. Science 11(6A) (2005)Google Scholar
  29. 29.
    Neuhold, E.J., Niederée, C., Stewart, A.: Personalization in digital libraries: An extended view. In: Sembok, T.M.T., Zaman, H.B., Chen, H., Urs, S.R., Myaeng, S.-H. (eds.) ICADL 2003. LNCS, vol. 2911, pp. 1–16. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  30. 30.
    Oard, D.W.: Language technologies for scalable digital libraries. In: International Conference on Digital Libraries (2004) (invited Paper)Google Scholar
  31. 31.
    Pant, G., Tsioutsiouliklis, K., Johnson, J., Giles, C.L.: Panorama: Extending digital libraries with topical crawlers. In: JCDL, pp. 142–150. ACM Press, New York (2004)CrossRefGoogle Scholar
  32. 32.
    Renda, M.E., Straccia, U.: A personalized collaborative digital library environment: a model and an application. Information Processing and Management 41(1), 5–21 (2005)CrossRefGoogle Scholar
  33. 33.
    Richardson, M., Domingos, P.: Building large knowledge bases by mass collaboration. In: K-CAP, pp. 129–137. ACM Press, New York (2003)CrossRefGoogle Scholar
  34. 34.
    Riva, M., Zafrin, V.: Extending the text: digital editions and the hypertextual paradigm. In: HYPERTEXT, pp. 205–207. ACM Press, New York (2005)Google Scholar
  35. 35.
    Russell, J.: Making it personal: information that adapts to the reader. In: SIGDOC 2003: Proceedings of the 21st annual international conference on Documentation, pp. 160–166. ACM Press, New York (2003)CrossRefGoogle Scholar
  36. 36.
    Smeaton, A.F., Callan, J.: Personalisation and recommender systems in digital libraries. International Journal on Digital Libraries 5, 299–308 (2005)CrossRefGoogle Scholar
  37. 37.
    Villamil, E.S., González Muñoz, C., Carrasco, R.C.: XMLibrary Search: An XML Search Engine Oriented to Digital Libraries. In: Rauber, A., Christodoulakis, S., Tjoa, A.M. (eds.) ECDL 2005. LNCS, vol. 3652, pp. 81–91. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  38. 38.
    Weaver, G., Strickland, B., Jones, A., Crane, G.: Quantifying the accuracy of relational statements in Wikipedia: A methodology. In: To appear in JCDL 2006: Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries (2006)Google Scholar
  39. 39.
    Witte, R.: An integration architecture for user-centric document creation, retrieval, and analysis. In: Proceedings of the VLDB Workshop on Information Integration on the Web (2004)Google Scholar
  40. 40.
    Witten, I.H., Don, K.J., Dewsnip, M., Tablan, V.: Text mining in a digital library. International Journal on Digital Libraries 4(1), 56–59 (2004)CrossRefGoogle Scholar
  41. 41.
    Zhuang, Z., Wagle, R., Giles, C.L.: What’s there and what’s not?: Focused crawling for missing documents in digital libraries. In: JCDL, pp. 301–310 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gregory Crane
    • 1
  • David Bamman
    • 1
  • Lisa Cerrato
    • 1
  • Alison Jones
    • 1
  • David Mimno
    • 1
  • Adrian Packel
    • 1
  • David Sculley
    • 1
  • Gabriel Weaver
    • 1
  1. 1.Perseus ProjectTufts University 

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