Backward inference and pruning for RDF change detection using RDBMS

@article{Im2013BackwardIA,
  title={Backward inference and pruning for RDF change detection using RDBMS},
  author={Dong-Hyuk Im and Sang-Won Lee and Hyoung-Joo Kim},
  journal={J. Information Science},
  year={2013},
  volume={39},
  pages={238-255}
}
Recent studies on change detection for RDF data have focused on minimizing the delta size and, as a way to exploit the semantics of RDF models in reducing the delta size, the forward-chaining inferences have been widely employed. However, since the forwardchaining inferences should pre-compute the entire closure of the RDF model, the existing approaches are not scalable to large RDF data sets. In this paper, we propose a scalable change detection scheme for RDF data, which is based on backward… CONTINUE READING