Biased graph walks for RDF graph embeddings

@inproceedings{Cochez2017BiasedGW,
  title={Biased graph walks for RDF graph embeddings},
  author={Michael Cochez and Petar Ristoski and Simone Paolo Ponzetto and Heiko Paulheim},
  booktitle={WIMS},
  year={2017}
}
Knowledge Graphs have been recognized as a valuable source for background information in many data mining, information retrieval, natural language processing, and knowledge extraction tasks. However, obtaining a suitable feature vector representation from RDF graphs is a challenging task. In this paper, we extend the RDF2Vec approach, which leverages language modeling techniques for unsupervised feature extraction from sequences of entities. We generate sequences by exploiting local information… CONTINUE READING

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