Deco
作者： Hyunjung Park , Hector Garcia-Molina , Richard Pang , Neoklis Polyzotis , Aditya Parameswaran
关键词:
摘要: Deco is a system that enables declarative crowdsourcing: answering SQL queries posed over data gathered from the crowd as well existing relational data. implements novel push-pull hybrid execution model in order to support flexible and precise query semantics, while coping with combination of latency, monetary cost, uncertainty crowdsourcing. We demonstrate using two crowdsourcing platforms: Amazon Mechanical Turk an in-house platform, show how provides convenient means collecting querying crowdsourced
acm.org
stanford.edu
sci-hub.se 参考文章(5)
Aditya Ganesh Parameswaran, Hyunjung Park, Hector Garcia-Molina, Neoklis Polyzotis, Jennifer Widom, Deco Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12. pp. 1203- 1212 ,(2012) , 10.1145/2396761.2398421
Anhai Doan, Raghu Ramakrishnan, Alon Y. Halevy, Crowdsourcing systems on the World-Wide Web Communications of the ACM. ,vol. 54, pp. 86- 96 ,(2011) , 10.1145/1924421.1924442
Frank Wm. Tompa, Per-Åke Larson, José A. Blakeley, Efficiently updating materialized views Materialized views. pp. 163- 175 ,(1999)
Michael J. Franklin, Donald Kossmann, Tim Kraska, Sukriti Ramesh, Reynold Xin, CrowdDB: answering queries with crowdsourcing international conference on management of data. pp. 61- 72 ,(2011) , 10.1145/1989323.1989331
Alexander J. Quinn, Benjamin B. Bederson, Human computation Proceedings of the 2011 annual conference on Human factors in computing systems - CHI '11. pp. 1403- 1412 ,(2011) , 10.1145/1978942.1979148