Building a semantic web image repository for biological research images

Authors:
Jun Zhao;Graham Klyne;David Shotton
Affiliations:
Department of Zoology, University of Oxford, Oxford, United Kingdom;Department of Zoology, University of Oxford, Oxford, United Kingdom;Department of Zoology, University of Oxford, Oxford, United Kingdom
Venue:
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Year:
2008

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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, jS-pace 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.