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A Quantitative Evaluation of Dissemination-Time Preservation Metadata

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Research and Advanced Technology for Digital Libraries (ECDL 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5173))

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Abstract

One of many challenges facing web preservation efforts is the lack of metadata available for web resources. In prior work, we proposed a model that takes advantage of a site’s own web server to prepare its resources for preservation. When responding to a request from an archiving repository, the server applies a series of metadata utilities, such as Jhove and Exif, to the requested resource. The output from each utility is included in the HTTP response along with the resource itself. This paper addresses the question of feasibility: Is it in fact practical to use the site’s web server as a just-in-time metadata generator, or does the extra processing create an unacceptable deterioration in server responsiveness to quotidian events? Our tests indicate that (a) this approach can work effectively for both the crawler and the server; and that (b) utility selection is an important factor in overall performance.

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Authors and Affiliations

  1. C.S. Dept, Old Dominion University, Norfolk, VA 23529

    Joan A. Smith & Michael L. Nelson

Authors
  1. Joan A. Smith
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  2. Michael L. Nelson
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Editor information

Birte Christensen-Dalsgaard Donatella Castelli Bolette Ammitzbøll Jurik Joan Lippincott

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© 2008 Springer-Verlag Berlin Heidelberg

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Smith, J.A., Nelson, M.L. (2008). A Quantitative Evaluation of Dissemination-Time Preservation Metadata. In: Christensen-Dalsgaard, B., Castelli, D., Ammitzbøll Jurik, B., Lippincott, J. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2008. Lecture Notes in Computer Science, vol 5173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87599-4_36

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  • DOI: https://doi.org/10.1007/978-3-540-87599-4_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87598-7

  • Online ISBN: 978-3-540-87599-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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