LinkGen: Multipurpose Linked Data Generator

نویسندگان

  • Amit Krishna Joshi
  • Pascal Hitzler
  • Guozhu Dong
چکیده

The paper presents LinkGen, a synthetic linked data generator that can generate a large amount of RDF data based on certain statistical distribution. Data generation is platform independent, supports streaming mode and produces output in N-Triples and N-Quad format. Different sets of output can be generated using various configuration parameters and the outputs are reproducible. Unlike existing generators, our generator accepts any vocabulary and can supplement the output with noisy and inconsistent data. The generator has an option to inter-link instances with real ones provided that the user supplies entities from real datasets.

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تاریخ انتشار 2016