Semi-Automating the Transformation of Chinese Historical Records Into Structured Biographical Data

Semi-Automating the Transformation of Chinese Historical Records Into Structured Biographical Data

Lik Hang Tsui, Hongsu Wang
ISBN13: 9781522571957|ISBN10: 1522571957|EISBN13: 9781522571964
DOI: 10.4018/978-1-5225-7195-7.ch011
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MLA

Tsui, Lik Hang, and Hongsu Wang. "Semi-Automating the Transformation of Chinese Historical Records Into Structured Biographical Data." Digital Humanities and Scholarly Research Trends in the Asia-Pacific, edited by Shun-han Rebekah Wong, et al., IGI Global, 2019, pp. 228-246. https://doi.org/10.4018/978-1-5225-7195-7.ch011

APA

Tsui, L. H. & Wang, H. (2019). Semi-Automating the Transformation of Chinese Historical Records Into Structured Biographical Data. In S. Wong, H. Li, & M. Chou (Eds.), Digital Humanities and Scholarly Research Trends in the Asia-Pacific (pp. 228-246). IGI Global. https://doi.org/10.4018/978-1-5225-7195-7.ch011

Chicago

Tsui, Lik Hang, and Hongsu Wang. "Semi-Automating the Transformation of Chinese Historical Records Into Structured Biographical Data." In Digital Humanities and Scholarly Research Trends in the Asia-Pacific, edited by Shun-han Rebekah Wong, Haipeng Li, and Min Chou, 228-246. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7195-7.ch011

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Abstract

This chapter explores and analyzes the new methods that the China Biographical Database (CBDB) project team has developed and adopted to digitize reference works about Chinese history, which is part of the important process of turning them into structured biographical data. This workflow focuses on the Tang Dynasty (618-907) and has implications for the continued improvement in the technologies for digitization and research into historical biographies in the Chinese language. These explorations and outcomes also demonstrate attempts in the Chinese studies field to transform large amounts of texts in non-Latin script into structured biographical data in a semi-automated fashion, and are expected to benefit digital humanities research, especially initiatives focusing on the Asia-Pacific region.

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