A cooperative crowdsourcing framework for knowledge extraction in digital humanities – cases on Tang poetry

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Detalles Bibliográficos
Publicado en:	Aslib Journal of Information Management vol. 72, no. 2 (2020), p. 243-261
Autor principal:	Liang, Hong
Otros Autores:	Hou, Wenjun, Wu, Zonghui, Han, Huijie
Publicado:	Emerald Group Publishing Limited
Materias:	Big Data Machine learning Accuracy Research methodology Active learning Culture Learning Cooperation Knowledge Classification Archives & records Subject specialists Algorithms Tagging Automation Libraries Digital humanities Crowdsourcing Domains Cultural heritage Dictionaries Human-computer interaction Museums Research Humanities Specialization Computers Humans Knowledge based development Case studies Frame analysis Experts Feedback Extraction Collaboration Novels Intelligence Poetry
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