Book cluster: a new approach to explore the evolution of knowledge organization in ancient China.
Chinese ancient book catalogs have persisted for over two millennia, serving as ancient knowledge organization systems and cultural heritage of great academic value. This article introduces the concept of "book cluster," a novel approach to studying catalog classification evolution, offering a meso-...
| Published in: | Digital Scholarship in the Humanities Vol. 40; pp. 1064 - 1075 |
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| Main Authors: | , , , , |
| Format: | Article |
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Oxford University Press / USA
2025 Supplement
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=182368577&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 182368577 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: 2025 Supplement vid: 40 pid: 622 pub: Oxford University Press / USA artinfo: ui: 182368577 10.1093/llc/fqae055 ppf: 1064 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.4MB tig: atl: Book cluster: a new approach to explore the evolution of knowledge organization in ancient China. aug: au: Li, Wenqi Wang, Zhaoji Yu, Hanxu Lai, Qianting Wang, Jun affil: Department of Information Management, Peking University, Beijing, 100871, China Research Center for Digital Humanities, Peking University, Beijing, 100871, China Center for Ancient Chinese Classics & Archives, Peking University, Beijing, 100871, China Department of Chinese Language and Literature, Peking University, Beijing, 100871, China su: Classification Feature extraction Audiobooks Chinese history Cultural property sug: subj: Classification Feature extraction Audiobooks Chinese history Cultural property keyword: ancient Chinese book catalog ancient Chinese texts classification system knowledge organization ab: Chinese ancient book catalogs have persisted for over two millennia, serving as ancient knowledge organization systems and cultural heritage of great academic value. This article introduces the concept of "book cluster," a novel approach to studying catalog classification evolution, offering a meso-level perspective that bridges books and categories. Drawing from computational methods, we identify clusters of books with similar categorization trajectories, enabling more efficient and intuitive exploration of knowledge organization trends. We review existing research on catalog classification, highlighting the traditional qualitative analysis and emerging computational methods. We then present our data source and processing methods. The concept of book cluster is defined, along with the algorithm for cluster identification and feature extraction. A case study demonstrates the potential of the book cluster concept in analyzing classification changes and knowledge inheritance. Additionally, we introduce an online analytical platform for further exploration. Through computational analysis of book clusters, we gain insights into the evolution of ancient book recording, circulation, and academic contexts. Book clusters offer clues about the content of lost books. This research lays the groundwork for future iterations. By pioneering the study of knowledge organization evolution using book clusters, we enhance our understanding of Chinese history's academic culture and knowledge preservation. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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