A comparison of supervised learning classifiers for link discovery

@inproceedings{Soru2014ACO,
  title={A comparison of supervised learning classifiers for link discovery},
  author={Tommaso Soru and Axel-Cyrille Ngonga Ngomo},
  booktitle={SEMANTICS},
  year={2014}
}
The detection of links between resources is intrinsic to the vision of the Linked Data Web. Due to the mere size of current knowledge bases, this task is commonly addressed by using tools. In particular, manifold link discovery frameworks have been developed. These frameworks implement several different machine-learning approaches to discovering links. In this paper, we investigate which of the commonly used supervised machine-learning classifiers performs best on the link discovery task. To… CONTINUE READING
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