| 基于知识图谱的红色历史人物知识问答服务框架研究 |
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| 引用本文： | 张云中,郭冬,王亚鸽,孙平.基于知识图谱的红色历史人物知识问答服务框架研究[J].图书情报工作,2021,65(16):108-117. |
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| 作者姓名： | 张云中 郭冬 王亚鸽 孙平 |
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| 作者单位： | 上海大学图书情报档案系 上海 200444 |
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| 摘 要： | 目的/意义] 知识图谱已成为公共数字文化资源知识组织的新形态。利用知识图谱技术赋能红色历史人物知识问答服务，提升用户交互体验，对红色历史资源的开发利用具有重要意义。方法/过程] 在梳理历史人物数字资源组织及知识问答系统相关研究的基础之上，构建了红色历史人物知识图谱Schema与KBQA架构，从数据获取、知识抽取、知识融合、图谱生成和知识问答五个环节搭建了红色历史人物问答模型，并以老上大历史人物数字资源进行实证研究。结果/结论] 本文设计的知识问答服务架构在红色历史人物数字资源的图谱半自动构建、知识推理与智能交互方面具有优越性，提升了用户知识服务体验。
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| 关 键 词： | 红色历史人物 知识图谱 问答系统 知识服务 |
| 收稿时间： | 2021-03-29 |
| 修稿时间： | 2021-06-07 |
Framework of Knowledge Q & A Service for Red Historical Figures Based on Knowledge Graph |
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| Zhang Yunzhong,Guo Dong,Wang Yage,Sun Ping.Framework of Knowledge Q & A Service for Red Historical Figures Based on Knowledge Graph[J].Library and Information Service,2021,65(16):108-117. |
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| Authors: | Zhang Yunzhong Guo Dong Wang Yage Sun Ping |
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| Institution: | Department of Library, Information and Archives, Shanghai University, Shanghai 200444 |
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| Abstract: | Purpose/significance] Knowledge graph has become a new form of public digital cultural resources organization. Using knowledge graph technology to enable the Knowledge Q & A service of red historical figures and improve user interaction experience is of great significance to the development and utilization of red historical resources.Method/process] On the basis of combing the related research of digital resource organization and Knowledge Q & A system of historical figures, the paper constructed the knowledge graph schema and KBQA architecture of red historical figures, and then built the model of Q & A from five aspects of data acquisition, knowledge extraction, knowledge fusion, graph generation and Knowledge Q & A.This paper took the red historical figures digitalresources of Shanghai University(1922-1927) as an example for empirical research.Result/conclusion] The Knowledge Q & A service architecture designed in this paper has advantages in semi-automatic graph construction, knowledge reasoning and intelligent interaction of digital resources of red historical figures, and improves the user knowledge service experience. |
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| Keywords: | red historical figures knowledge graph question answering system knowledge service |
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