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abstract

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

Published: 01 August 2020 Publication History

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.

References

[1]
ZENG, Marcia Lei, Xiaoguang WANG, and Wei FAN.2018. Smart Data from Libraries, Archives and Museums and its Role in the Digital Humanity Researches. Journal of Library Science in China 1, 2.
[2]
Zhang X, Song S, and Zhao Y. 2018. Motivations of volunteers in the Transcribe Sheng project: A grounded theory approach. Proceedings of the Association for Information Science and Technology, 55(1), 951--953.
[3]
Harvard University. 2001. China historical geographic information system project history. Retrieved from http://www.fas.harvard.edu/?chgis/.
[4]
Hong, L., Hou, W., Wu, Z., & Han, H. 2020. A cooperative crowdsourcing framework for knowledge extraction in digital humanities--cases on Tang poetry. Aslib Journal of Information Management.

Cited By

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  • (2024)Comprehensive Metaverse Design Concept Using Augmented Reality, Virtual Reality, and Mixed RealityUnderstanding the Metaverse10.1007/978-981-97-2278-5_11(239-263)Online publication date: 29-Aug-2024
  • (2023)Decentralised Knowledge Graph Evolution Via BlockchainIEEE Transactions on Services Computing10.1109/TSC.2023.3337873(1-17)Online publication date: 2023

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Information

Published In

cover image ACM Conferences
JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020
August 2020
611 pages
ISBN:9781450375856
DOI:10.1145/3383583
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 2020

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Author Tags

  1. crowdsourcing
  2. digital resource construction
  3. human-computer interaction
  4. intelligent museum

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Funding Sources

  • Natural Science Fund of Hubei Province for Creative Research Groups
  • the Youth Fund of the Humanities and Social Sciences Foundation of the Ministry of Education

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JCDL '20
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Overall Acceptance Rate 415 of 1,482 submissions, 28%

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JCDL '24
The 2024 ACM/IEEE Joint Conference on Digital Libraries
December 16 - 20, 2024
Hong Kong , China

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Cited By

View all
  • (2024)Comprehensive Metaverse Design Concept Using Augmented Reality, Virtual Reality, and Mixed RealityUnderstanding the Metaverse10.1007/978-981-97-2278-5_11(239-263)Online publication date: 29-Aug-2024
  • (2023)Decentralised Knowledge Graph Evolution Via BlockchainIEEE Transactions on Services Computing10.1109/TSC.2023.3337873(1-17)Online publication date: 2023

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