CrowdDB: Query Processing with the VLDB Crowd

@article{Feng2011CrowdDBQP,
  title={CrowdDB: Query Processing with the VLDB Crowd},
  author={Amber Feng and Michael J. Franklin and Donald Kossmann and Tim Kraska and Samuel Madden and Sukriti Ramesh and Andrew Wang and Reynold Xin},
  journal={PVLDB},
  year={2011},
  volume={4},
  pages={1387-1390}
}
Databases often give incorrect answers when data are missing or semantic understanding of the data is required. Processing such queries requires human input for providing the missing information, for performing computationally difficult functions, and for matching, ranking, or aggregating results based on fuzzy criteria. In this demo we present CrowdDB, a hybrid database system that automatically uses crowdsourcing to integrate human input for processing queries that a normal database system… CONTINUE READING
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