DRX: A LOD dataset interlinking recommendation tool

نویسندگان

  • Alexander Arturo Mera Caraballo
  • Bernardo Pereira Nunes
  • Marco A. Casanova
چکیده

With the growth of the Linked Open Data (LOD) cloud, data publishers face a new challenge: finding related datasets to interlink with. To face this challenge, this paper describes a tool, called DRX, to assist data publishers in the process of dataset interlinking and browsing the LOD cloud. DRX is organized in five main modules responsible for: (i) collecting data from datasets on the LOD cloud; (ii) processing the data collected to create dataset profiles; (iii) grouping datasets using clustering algorithms; (iv) providing dataset recommendations; and (v) supporting browsing the LOD cloud. Experimental results show that DRX has a potential to be used as a dataset interlinking facilitator.

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تاریخ انتشار 2016