Evaluating semantic browsers for consuming linked data

Authors:
Fahad Alahmari;James A. Thom;Liam Magee;Wilson Wong
Affiliations:
RMIT University, Melbourne, Australia;RMIT University, Melbourne, Australia;RMIT University, Melbourne, Australia;RMIT University, Melbourne, Australia
Venue:
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
Year:
2012

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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.