Hide the stack: toward usable linked data

  • Authors:

  • Aba-Sah Dadzie;Matthew Rowe;Daniela Petrelli

  • Affiliations:

  • OAK Group, Dept. of Computer Science, The University of Sheffield, UK;Knowledge Media Institute, The Open University, Milton Keynes, UK;Art & Design Research Centre, Sheffield Hallam University, UK

  • Venue:
  • ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
  • Year:
  • 2011

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Abstract

The explosion in growth of the Web of Linked Data has provided, for the first time, a plethora of information in disparate locations, yet bound together by machine-readable, semantically typed relations. Utilisation of the Web of Data has been, until now, restricted to the members of the community, eating their own dogfood, so to speak. To the regular web user browsing Facebook and watching YouTube, this utility is yet to be realised. The primary factor inhibiting uptake is the usability of the Web of Data, where users are required to have prior knowledge of elements from the Semantic Web technology stack. Our solution to this problem is to hide the stack, allowing end users to browse the Web of Data, explore the information it contains, discover knowledge, and use Linked Data. We propose a template-based visualisation approach where information attributed to a given resource is rendered according to the rdf:type of the instance.