... Based on a Crowdsourcing System for Knowledge Graph Construction Zijing Ji1 , 3 , Yuxin Shen1 , 3 , Yining Sun2 ... assignment , which plays a vital role in improving the accuracy of annotation . Moreover , we evalu- ate several ...

... based on a competition. Such crowdsourcing con- tests were shown to allow the contest designer to elicit significant participant efforts [27,3]. Predicting attainment in cognitive tasks is a central topic in psychology. Psy ...

... knowledge ( Rc ) by appealing to their common sense experience ; everybody knows that , e.g. , " All supermarkets ... testing our hypothesis , we ran numerous pilots to tune the hyper - parameters of the crowd task in the shopping ...

... knowledge capture, so that the state of knowledge can be rewound and replayed from any point in time to any other ... based human computation systems. Some participants mentioned some problems associated to error tolerance, ethical ...

Crowdsourced Data Management: Industry and Academic Perspectives aims to narrow the gap between academics and practitioners in this burgeoning field.

But crowdsourcing has also triggered a dramatic shift in the way work is organized, talent is employed, research is conducted, and products are made and marketed.

This book provides an overview of crowdsourced data management.

This open access book constitutes the refereed proceedings of the 15th International Conference on Semantic Systems, SEMANTiCS 2019, held in Karlsruhe, Germany, in September 2019.

The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, ...

This open access book examines the implications of internal crowdsourcing (IC) in companies.