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作 者:彭泽 叶光辉[1] 毕崇武 Peng Ze;Ye Guanghui;Bi Chongwu(School of Information Management,Central China Normal University,Wuhan 430079,China;School of Information Management,Zhengzhou University,Zhengzhou 450001,China;Zhengzhou Data Science Research Center,Zhengzhou 450001,China)
机构地区:[1]华中师范大学信息管理学院,湖北武汉430079 [2]郑州大学信息管理学院,河南郑州450001 [3]郑州市数据科学研究中心,河南郑州450001
出 处:《现代情报》2023年第6期56-66,共11页Journal of Modern Information
基 金:河南省哲学社会科学规划项目“基于词汇功能识别的交叉学科知识涌现机制研究”(项目编号:2022BZH008);中央高校基本科研业务费资助(创新资助)项目“文献内容视角下的知识单元数量、关系、质量与价值计量研究”(项目编号:2022CXZZ108);中央高校基本科研业务费项目“开源跨模态科技情报知识组织与智能分析”(项目编号:CCNU22QN016)。
摘 要:[目的/意义]基于题录数据的知识交流研究始终没能突破粒度瓶颈深入到文本片段层面。本文尝试探究知识单元粒度的知识关联关系,进而分析知识单元在知识交流中的主要作用。[方法/过程]首先,使用知识描述规则从学术文本中抽取知识单元,并计算其主题、情感倾向等属性;然后,根据知识单元主题、所处结构、情感倾向、被引次数等特征划分知识单元之间的关系类型;最后,构建知识单元关系网络,根据与知识单元连接的关系数量、类型等识别其在知识交流中扮演的角色。[结果/结论]从“知识单元”“知识元”领域的207篇文献中共提取到知识单元3187个,揭示了知识单元的关系类型分布特征、知识单元关系类型和数量与知识交流角色之间的关联,在知识单元粒度上实现了学术文献之间的语义联系,将知识交流研究从知识载体层面深入到知识内容层面。[Purpose/Significance]The limitation of granularity has not been broken through since a great deal of research on knowledge exchange were already emerged in perspective of citation data.This paper tries to explore relationship between knowledge elements from the granularity of text content,and then analyzes the role of each knowledge element in knowledge communication.[Method/Process]In this paper,knowledge elements were extracted from literatures by a method based on knowledge description rule,and their attributes such as topic and sentiment were calculated.Then,the relationship between knowledge elements was defined according to the characteristics of knowledge elements,such as topic,structure,sentiment and cited times.Finally,the relationship network of knowledge elements was constructed,and the role of a knowledge element in knowledge communication was identified according to the number and type of relationships connected with it.[Result/Conclusion]A total of 3187 knowledge elements are extracted from 207 papers in the field of“knowledge elements”.This paper describes the distribution of knowledge element relationships and how the number and type of knowledge element relationship influences a knowledge element s role of knowledge communication.This paper realizes the semantic relation between documents from the granularity of knowledge elements,which deepens the research level of knowledge exchange from document carrier to knowledge content.
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