Building a Semantic Web Image Repository for Biological Research Images

  • Jun Zhao
  • Graham Klyne
  • David Shotton
Conference paper

DOI: 10.1007/978-3-540-68234-9_14

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5021)
Cite this paper as:
Zhao J., Klyne G., Shotton D. (2008) Building a Semantic Web Image Repository for Biological Research Images. In: Bechhofer S., Hauswirth M., Hoffmann J., Koubarakis M. (eds) The Semantic Web: Research and Applications. ESWC 2008. Lecture Notes in Computer Science, vol 5021. Springer, Berlin, Heidelberg

Abstract

Images play a vital role in scientific studies. An image repository would become a costly and meaningless data graveyard without descriptive metadata. We adapted EPrints, a conventional repository software system, to create a biological research image repository for a local research group, in order to publish images with structured metadata with a minimum of development effort. However, in its native installation, this repository cannot easily be linked with information from third parties, and the user interface has limited flexibility. We address these two limitations by providing Semantic Web access to the contents of this image repository, causing the image metadata to become programmatically accessible through a SPARQL endpoint and enabling the images and their metadata to be presented in more flexible faceted browsers, jSpace and Exhibit. We show the feasibility of publishing image metadata on the Semantic Web using existing tools, and examine the inadequacies of the Semantic Web browsers in providing effective user interfaces. We highlight the importance of a loosely coupled software framework that provides a lightweight solution and enables us to switch between alternative components.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Jun Zhao
    • 1
  • Graham Klyne
    • 1
  • David Shotton
    • 1
  1. 1.Department of ZoologyUniversity of OxfordOxfordUnited Kingdom

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