A Semantic Browser for Linked Open Data

نویسندگان

  • Alexander Seeliger
  • Heiko Paulheim
چکیده

Although the Semantic Web was originally designed as a “web for machines”, the growing wealth of information in Linked Open Data has become interesting for human users as well. Consequently, quite a few browsers for Linked Open Data have recently been developed. However, despite being developed for the semantic web, those browsers often present alphabetically ordered lists of facts, without respecting the semantics of the data. In our submission to the Semantic Web Challenge, we present a semantic browser for the semantic web, which aims at presenting facts from Linked Open Data in semantically coherent groups. This paper introduces the main algorithms as well as an evaluation of the browser with end users.

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تاریخ انتشار 2012