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Making digital libraries effective: Automatic generation of links for similarity search across hyper‐textbooks

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  • Massimo Melucci

Abstract

Textbooks are more available in electronic format now than in the past. Because textbooks are typically large, the end user needs effective tools to rapidly access information encapsulated in textbooks stored in digital libraries. Statistical similarity‐based links among hyper‐textbooks are a means to provide those tools. In this paper, the design and the implementation of a tool that generates networks of links within and across hyper‐textbooks through a completely automatic and unsupervised procedure is described. The design is based on statistical techniques. The overall methodology is presented together with the results of a case study reached through a working prototype that shows that connecting hyper‐textbooks is an efficient way to provide an effective retrieval capability.

Suggested Citation

  • Massimo Melucci, 2004. "Making digital libraries effective: Automatic generation of links for similarity search across hyper‐textbooks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(5), pages 414-430, March.
    • Handle: RePEc:bla:jamist:v:55:y:2004:i:5:p:414-430
    DOI: 10.1002/asi.10390
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    Cited by:

    1. Yong‐Mi Kim, 2010. "The adoption of university library Web site resources: A multigroup analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 978-993, May.

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