CHCI: A Crowdsourcing Human-computer Interaction Framework for Cultural Heritage Knowledge

Wenjun Hou, Huijie Han, Liang Hong, Wei Yin

Abstract: This paper aims to extract knowledge including entities and relationships, from multi-source heterogeneous cultural heritage (CH) resources. The proposed crowdsourcing human-computer interaction framework utilizes museum-user-algorithm cooperation to achieve high-quality and scalable CH knowledge extraction. This paper also proposes crowdsourcing optimization mechanisms to improve participation and quality of crowdsourcing project. Finally, this paper discusses how extracted knowledge can support CH digital resource construction and knowledge-driven intelligent applications in Museum.