[PDF] Discovering relationships from imperial court documents of Qing China | Semantic Scholar Skip to search formSkip to main content> Semantic Scholar's Logo Search Sign InCreate Free Account You are currently offline. Some features of the site may not work correctly. DOI:10.3366/ijhac.2012.0036 Corpus ID: 9673344Discovering relationships from imperial court documents of Qing China @article{Hsiang2012DiscoveringRF, title={Discovering relationships from imperial court documents of Qing China}, author={J. Hsiang and Shih-Pei Chen and Hou Ieong Ho and H. Tu}, journal={Int. J. Humanit. Arts Comput.}, year={2012}, volume={6}, pages={22-41} } J. Hsiang, Shih-Pei Chen, +1 author H. Tu Published 2012 History, Computer Science Int. J. Humanit. Arts Comput. The Qing Imperial Court documents are a major source of primary research material for studying the Qing era China since they provide the most direct and first-hand details of how national affairs were handled. However, the way Qing archived these documents has made it cumbersome to collect documents covering the same event and rebuild their original contexts. In this paper, we describe some information technology that we have developed to discover two important and useful relations among these… Expand View via Publisher thdl.ntu.edu.tw Save to Library Create Alert Cite Launch Research Feed Share This Paper 5 CitationsBackground Citations 1 Methods Citations 1 View All Figures, Tables, and Topics from this paper figure 1 table 1 figure 2 table 2 figure 3 figure 4 table 4 figure 5 table 5 figure 6 figure 7 figure 8 figure 9 figure 10 figure 11 figure 12 figure 13 figure 14 View All 18 Figures & Tables Text mining Digital library Historical document Diagram Archive 5 Citations Citation Type Citation Type All Types Cites Results Cites Methods Cites Background Has PDF Publication Type Author More Filters More Filters Filters Sort by Relevance Sort by Most Influenced Papers Sort by Citation Count Sort by Recency Discovering land transaction relations from land deeds of Taiwan Shih-Pei Chen, Yu-Ming Huang, J. Hsiang, H. Tu, Hou Ieong Ho, Ping-Yen Chen Business, Computer Science Lit. Linguistic Comput. 2011 3 PDF View 2 excerpts, cites background Save Alert Research Feed A Chinese ancient book digital humanities research platform to support digital humanities research Chih-Ming Chen, C. Chang Computer Science Electron. Libr. 2019 1 Save Alert Research Feed Application of Taiwan's Human Rights-Themed Cultural Assets and Spatial Information Shuhui Lin Sociology, Computer Science Complex. 2020 PDF Save Alert Research Feed Visuality in a Cross-disciplinary Battleground: Analysis of Inscriptions in Digital Humanities Journal Publications Rongqian Ma, Kai Li Computer Science 2021 PDF View 2 excerpts, cites methods Save Alert Research Feed A Bibliographic Analysis of Scholarly Publication in the Emerging Field of Digital Humanities in Taiwan K. Chen, Muh-Chyun Tang Sociology 2019 Save Alert Research Feed References SHOWING 1-2 OF 2 REFERENCES Methods for Identifying Versioned and Plagiarized Documents T. C. Hoad, J. Zobel Computer Science J. Assoc. Inf. Sci. Technol. 2003 370 PDF Save Alert Research Feed Collection statistics for fast duplicate document detection Abdur Chowdhury, O. Frieder, D. Grossman, M. McCabe Computer Science TOIS 2002 282 PDF Save Alert Research Feed Related Papers Abstract Figures, Tables, and Topics 5 Citations 2 References Related Papers Stay Connected With Semantic Scholar Sign Up About Semantic Scholar Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. Learn More → Resources DatasetsSupp.aiAPIOpen Corpus Organization About UsResearchPublishing PartnersData Partners   FAQContact Proudly built by AI2 with the help of our Collaborators Terms of Service•Privacy Policy The Allen Institute for AI By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License ACCEPT & CONTINUE