COST Action IC1302

semantic KEYword-based Search on sTructured data sOurcEs

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Community Profiling for Crowdsourcing Queries

Authors: Khalid, Belhajjame; Marco, Brambilla; Daniela, Grigori; Andrea, Mauri;
Year: 2014
Venue: MASTEDONE-Crowdsourcing
Link: http://tinyurl.com/klw4gxh
Product of the Action: Yes

Keystone Members Authors:
Khalid Belhajjame

Abstract:
Crowdsourcing has recently gained momentum as a means for outsourcing tasks to human workers with no speci fic expertise. This is a viable option for tasks that are dicult to achieve correctly using machines or that are too expensive to be carried out by expert professionals. This leads to the possibility of addressing large campaigns of jobs without facing extremely high cost. While this technique has proven to be eff ective for simple labeling tasks, such as text recognition, the quality of results it delivers for relatively sophisticated tasks such as scientifi c paper translation, may appear as deteriorated. The objective of our work is instead to defi ne in a rich way the concept of community of workers, de fining a way to properly match crowdsourcing tasks to the communities based on expertise of workers and eld/topic of tasks. We describe a set of conceptual models for queries, communities and workers, a high level architecture of the approach, and outline a set of possible strategies for addressing various aspects of expert-targeted crowdsourcing.

crowdsourcing - Keyword search - Keyword search in Relational databases - Metadata search0

Endorsements:

crowdsourcing
Keyword search
Keyword search in Relational databases
Metadata search

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