LENATR: Browsing linked open data along knowledge-aspects

Abstract

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 TR, 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. © 2010, Association for the Advancement of Artificial Intelligence.