CrowdDB: Query processing with the VLDB crowd

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...

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

Internet

http://hdl.handle.net/1721.1/90378
https://orcid.org/0000-0002-7470-3265

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