Propagating Updates in SPIDER

@article{Koudas2007PropagatingUI,
  title={Propagating Updates in SPIDER},
  author={Nick Koudas and Amit Marathe and Divesh Srivastava},
  journal={2007 IEEE 23rd International Conference on Data Engineering},
  year={2007},
  pages={1146-1153}
}
SPIDER, developed at AT&T Labs-Research, is a system that efficiently supports flexible string matching against attribute values in large databases, and is extensively used in AT&T. The scoring methodology is based on tf.idf weighting and cosine similarity, and SPIDER maintains indexes containing string tokens and their weights, for fast matching at query time. Given the "global" nature of the weights maintained in the indexes, even a few updates to the underlying database tables would… CONTINUE READING

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