Evaluating semantic browsers for consuming linked data

Fahad Alahmari, James A. Thom, Liam Magee, Wilson Wong

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

12 Citations (Scopus)

Abstract

The value of a single dataset is increased when it is linked to combinations of datasets to provide users with more information. Linked Data is a style of publishing data on the Web by using a structured machine-readable format, RDF, and semantically typed relations to connect related data. Its structured representation opens up new possibilities in the way these data can be accessed and queried, while posing new design challenges for human interactions such as overloading data, navigation style, or browsing mechanism. In this paper, we review 14 semantic browsers available for the consumption of structured Linked Data and evaluate them against our five criteria framework in order to establish how well these browsers bring the benefit of Linked Data to human users.
Original languageEnglish
Title of host publicationADC '12: Proceedings of the Twenty-Third Australasian Database Conference, 30 January-2 February 2012, Melbourne, Australia
PublisherUniversity of Melbourne
Pages89-98
Number of pages10
ISBN (Print)9781921770050
Publication statusPublished - 2012
EventAustralasian Database Conference -
Duration: 30 Jan 2012 → …

Conference

ConferenceAustralasian Database Conference
Period30/01/12 → …

Keywords

  • RDF (document markup language)
  • browsers (computer programs)
  • linked data
  • semantic web
  • user interfaces (computer systems)

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