DynamiTE: Parallel Materialization of Dynamic RDF Data

@inproceedings{Urbani2013DynamiTEPM,
  title={DynamiTE: Parallel Materialization of Dynamic RDF Data},
  author={Jacopo Urbani and Alessandro Margara and Ceriel J. H. Jacobs and Frank van Harmelen and Henri E. Bal},
  booktitle={International Semantic Web Conference},
  year={2013}
}
One of the main advantages of using semantically annotated data is that machines can reason on it, deriving implicit knowledge from explicit information. In this context, materializing every possible implicit derivation from a given input can be computationally expensive, especially when considering large data volumes. Most of the solutions that address this problem rely on the assumption that the information is static, i.e., that it does not change, or changes very infrequently. However, the… CONTINUE READING
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