@inbook{a81fff84e674429290be451efa2fe20a,
  title     = "Simplifying RDF Data for Graph-Based Machine Learning.",
  abstract  = "From the perspective of machine learning and data mining applications, expressing data in RDF rather than a domain-specific for- mat can add complexity and obfuscate the internal structure. We in- vestigate and illustrate this issue with an example where bio-molecular graph datasets are expressed in RDF. We use this example to inspire pre- processing techniques which reverse some of the complications of adding semantic annotations, exposing those patterns in the data that are most relevant to machine learning. We test these methods in a number of clas- sification experiments and show that they can improve performance both for our example datasets and real-world RDF datasets.",
  author    = "P. Bloem and A. Wibisono and {de Vries}, G.K.D",
  year      = "2014",
  booktitle = "KNOW@ LOD",
}

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