dc.contributor.author | Marcus, Adam | |
dc.contributor.author | Wu, Eugene | |
dc.contributor.author | Karger, David R. | |
dc.contributor.author | Madden, Samuel R. | |
dc.contributor.author | Miller, Robert C. | |
dc.date.accessioned | 2011-05-17T19:17:20Z | |
dc.date.available | 2011-05-17T19:17:20Z | |
dc.date.issued | 2011-01 | |
dc.date.submitted | 2011-01 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/62827 | |
dc.description.abstract | Amazon's Mechanical Turk (\MTurk") service allows users
to post short tasks (\HITs") that other users can receive
a small amount of money for completing. Common tasks
on the system include labelling a collection of images, com-
bining two sets of images to identify people which appear in
both, or extracting sentiment from a corpus of text snippets.
Designing a work
ow of various kinds of HITs for ltering,
aggregating, sorting, and joining data sources together is
common, and comes with a set of challenges in optimizing
the cost per HIT, the overall time to task completion, and
the accuracy of MTurk results. We propose Qurk, a novel
query system for managing these work
ows, allowing crowd-
powered processing of relational databases. We describe a
number of query execution and optimization challenges, and
discuss some potential solutions. | en_US |
dc.language.iso | en_US | |
dc.publisher | CIDR | en_US |
dc.relation.isversionof | http://www.cidrdb.org/cidr2011/program.html | en_US |
dc.rights | Creative Commons Attribution | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0 | en_US |
dc.source | MIT web domain | en_US |
dc.title | Crowdsourced Databases: Query Processing with People | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Marcus, Adam, et al."Crowdsourced Databases: Query Processing with People." 5th Biennial Conference on Innovative Data Systems Research (CIDR '11) January 9-12, 2011, Asilomar, California, USA | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.contributor.approver | Madden, Samuel R. | |
dc.contributor.mitauthor | Marcus, Adam | |
dc.contributor.mitauthor | Wu, Eugene | |
dc.contributor.mitauthor | Karger, David R. | |
dc.contributor.mitauthor | Madden, Samuel R. | |
dc.contributor.mitauthor | Miller, Robert C. | |
dc.relation.journal | Proceedings of the 5th Biennial Conference on Innovative Data Systems Research (CIDR 2011) | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
dspace.orderedauthors | Marcus, Adam; Wu, Eugene; Karger, David R.; Madden, Samuel; Miller, Robert C. | |
dc.identifier.orcid | https://orcid.org/0000-0002-7470-3265 | |
dc.identifier.orcid | https://orcid.org/0000-0002-0024-5847 | |
dc.identifier.orcid | https://orcid.org/0000-0002-0442-691X | |
mit.license | PUBLISHER_CC | en_US |
mit.metadata.status | Complete | |