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The book explores the integration of human and machine-driven computation in semantic content authoring, addressing the scarcity of useful human contributions. It emphasizes the importance of understanding user behavior and incentives from social sciences and economics to enhance participation. A proposed methodology aims to guide software designers in embedding incentive-driven features into applications. Through various case studies, it highlights design considerations for incentivized Semantic Web applications, focusing on task suitability, knowledge domains, and mechanisms for ensuring quality contributions.
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Incentive-Centric Semantic Web Application Engineering, Elena Simperl, Stein Martin, Roberta Cuel
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- 2013
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