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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Detalles Bibliográficos
Autores principales: Feng, Amber, Franklin, Michael J., Kossmann, Donald, Kraska, Tim, Madden, Samuel R., Ramesh, Sukriti, Wang, Andrew, Xin, Reynold
Otros Autores: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Formato: Artículo
Lenguaje:en_US
Publicado: VLDB Endowment 2014
Acceso en línea:http://hdl.handle.net/1721.1/90378
https://orcid.org/0000-0002-7470-3265

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