Designing games with a purpose
Communications of the ACM - Designing games with a purpose
Computer science and game theory
Communications of the ACM - Designing games with a purpose
The role of game theory in human computation systems
Proceedings of the ACM SIGKDD Workshop on Human Computation
Qualitative effects of knowledge rules and user feedback in probabilistic data integration
The VLDB Journal — The International Journal on Very Large Data Bases
Demonstration of Qurk: a query processor for humanoperators
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Efficient evaluation of human-powered joins with crowdsourced join pre-filters
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Rule-based application development using Webdamlog
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Query optimization over crowdsourced data
Proceedings of the VLDB Endowment
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This demo presents a principled approach to the problems of data-centric human/machine computations with Crowd4U, a crowdsourcing platform equipped with a suite of tools for rapid development of crowdsourcing applications. Using the demo, we show that declarative database abstraction can be used as a powerful tool to design, implement, and analyze data-centric crowdsourcing applications. The power of Crowd4U comes from CyLog, a database abstraction that handles complex data-centric human/machine computations. CyLog is a Datalog-like language that incorporates a principled feedback system for humans at the language level so that the semantics of the computation not closed in machines can be defined based on the game theory. We believe that the demo clearly shows that database abstraction can be a promising basis for designing complex data-centric applications requiring human/machine computations.