CrowdDB: Query processing with the VLDB crowd
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 ba...
Main Authors: | Feng, Amber, Franklin, Michael J., Kossmann, Donald, Kraska, Tim, Madden, Samuel R., Ramesh, Sukriti, Wang, Andrew, Xin, Reynold |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
VLDB Endowment
2014
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Online Access: | http://hdl.handle.net/1721.1/90378 https://orcid.org/0000-0002-7470-3265 |
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