LENA-TR : Browsing Linked Open Data Along Knowledge-Aspects

نویسندگان

  • Thomas Franz
  • Jörg Koch
  • Renata Queiroz Dividino
  • Steffen Staab
چکیده

Browsing linked open data (LOD) is a promising, yet, often unsatisfactory experience today. User-support for the identification of relevant information within the fast-growing cloud of LOD is limited. This paper presents LENA, a browser for LOD that highlights relevant information with respect to different knowledge aspects hidden in linked data. Its interpretation of faceted navigation facilitates the sense-making and browsing of LOD, solving many of the shortcomings experienced in LOD browsing today.

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تاریخ انتشار 2010