Reducing Uncertainty of Schema Matching via Crowdsourcing

@article{Zhang2013ReducingUO,
  title={Reducing Uncertainty of Schema Matching via Crowdsourcing},
  author={Chen Jason Zhang and Lei Chen and H. V. Jagadish and Caleb Chen Cao},
  journal={PVLDB},
  year={2013},
  volume={6},
  pages={757-768}
}
Schema matching is a central challenge for data integration systems. Automated tools are often uncertain about schema matchings they suggest, and this uncertainty is inherent since it arises from the inability of the schema to fully capture the semantics of the represented data. Human common sense can often help. Inspired by the popularity and the success of easily accessible crowdsourcing platforms, we explore the use of crowdsourcing to reduce the uncertainty of schema matching. Since it is… CONTINUE READING

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