A Collection of Benchmark Datasets for Systematic Evaluations of Machine Learning on the Semantic Web

نویسندگان

  • Petar Ristoski
  • Gerben de Vries
  • Heiko Paulheim
چکیده

Resource type: Datasets Permanent URL: http://w3id.org/sw4ml-datasets In the recent years, several approaches for machine learning on the Semantic Web have been proposed. However, no extensive comparisons between those approaches have been undertaken, in particular due to a lack of publicly available, acknowledged benchmark datasets. In this paper, we present a collection of 22 benchmark datasets of different sizes.Such a collection of datasets can be used to conduct quantitative performance testing and systematic comparisons of approaches.

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تاریخ انتشار 2016