Abstract
This paper discusses a gamification design for knowledge base refinement. The maintenance of a knowledge base involves human intervention and is one major application domain of human computation. Using the concept of crowdsourcing, refinement tasks can be delegated to many casual users over a network. In addition, gamification such as games with a purpose (GWAP) is a useful idea to motivate workers in crowdsourcing by making a task into a playful game. For effective gamification, designing the game rules is critical. In this paper, we present a model for simulating the gamified knowledge base refinement process to estimate the effects of different game rule designs beforehand.
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Acknowledgment
This work was partially supported by JSPS KAKENHI Grant Number 15K00324.
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Kurita, D., Roengsamut, B., Kuwabara, K., Huang, HH. (2016). Knowledge Base Refinement with Gamified Crowdsourcing. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_4
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DOI: https://doi.org/10.1007/978-3-662-49381-6_4
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