document: Declarative platform for data sourcing games Harnessing a crowd of users for the collection of mass data ( data sourcing ) has recently become a wide-spread practice . One effective technique is based on games as a tool that attracts the crowd to contribute useful facts . We focus here on the data management layer of such games , and observe that the development of this layer involves challenges such as dealing with probabilistic data , combined with recursive manipulation of this data . These challenges are difficult to address using current declarative data management framework works , and we thus propose here a novel such framework , and demonstrate its usefulness in expressing different aspects in the data management of Trivia-like games . We have implemented a system prototype with our novel data management framework at its core , and we highlight key issues in the system design , as well as our experimentations that indicate the usefulness and scalability of the approach .
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