| 基于网络众包模式的海量历史文献数字化处理方法研究 |
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| 引用本文： | 席运江,林瑶瑶,廖晓,俞宽.基于网络众包模式的海量历史文献数字化处理方法研究[J].现代情报,2019,39(2):161-168,177. |
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| 作者姓名： | 席运江 林瑶瑶 廖晓 俞宽 |
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| 作者单位： | 1. 华南理工大学工商管理学院, 广东 广州 510640;2. 广东金融学院互联网金融与信息工程学院, 广东 广州 510520 |
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| 基金项目： | 中国博士后科学基金（项目编号：2016M602475）；广东省自然科学基金博士科研启动纵向协同管理试点项目（项目编号：2017A030310165）。 |
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| 摘 要： | 目的/意义]针对海量历史文献数字化所面临的文献数量庞大、耗时长、成本过高等问题,本文将众包理念引入传统文献数字化工作中,形成基于网络众包模式的海量历史文献数字化处理方法。方法/过程]该模式根据历史文献特点,将网络大众自发知识生产模式与专家定向模式相结合,提出了相应的用户激励和质量控制方案,从而保证众包任务的高效率、低成本、质量可控。此外,以粤海关清末历史文献为试点验证众包模式在大规模文献数字化处理工作中的可行性、高效性。结果/结论]该模式为处理历史文献处理提供了新的思路与方法,且具有广阔的应用前景。
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| 关 键 词： | 众包模式 定向众包 粤海关历史文献 数字化处理 PDCA |
Research on Massive Historical Documents Digitalization Processing Method Based on Network Crowdsourcing Mode |
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| Authors: | Xi Yunjiang Lin Yaoyao Liao Xiao Yu Kuan |
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| Institution: | 1. School of Business Administration, South China University of Technology, Guangzhou 510640, China;2. School of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou 510520, China |
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| Abstract: | Purpose/Significance] In view of the huge number of documents,the long time consuming and the high cost of digitalization of massive historical documents,In this paper,crowdsourcing was introduced into the work of digitalization of traditional documents,and a massive digital document processing method based on crowdsourcing mode was formed.Method/Process] According to the characteristics of historical literature,this model combined the spontaneous knowledge production model of the network with the expert oriented model,and put forward the corresponding user incentive and quality control scheme,so as to ensure the high efficiency,low cost and quality control of the crowdsourcing task.In addition,the feasibility and efficiency of crowdsourcing mode in the digitalization of large scale literature were verified by the historical documents of Guangdong Customs late Qing Dynasty.Result/Conclusion] This mode provided new ideas and methods for dealing with historical documents,and had broad application prospects. |
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| Keywords: | crowdsourcing mode directional crowdsourcing Guangdong Customs historical documents digital processing PDCA |
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