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作 者:李祯静 秦春秀[1] 赵捧未[1] 马晓悦[1] Li Zhenjing;Qin Chunxiu;Zhao Pengwei;Ma Xiaoyue(School of Economics and Management,Xidian University, Xi'an 710071)
机构地区:[1]西安电子科技大学经济与管理学院,西安710071
出 处:《情报杂志》2019年第2期158-165,180,共9页Journal of Intelligence
基 金:国家自然科学基金项目"知识社区中的资源语义空间及其检索研究"(编号:71573199)研究成果之一
摘 要:[目的/意义]大数据时代,引起科技文献信息过载的原因之一是当前科技文献检索系统大多还是采用以整篇文献为单位的粗粒度知识组织方式。为缓解信息过载,满足用户精准化的检索需求,深入到文献内部的细粒度知识组织变得更加迫切。[方法/过程]提出一种基于知识单元的细粒度知识组织方法,该方法将科技文献划分为多个知识单元,并分析知识单元之间及知识单元内部主题概念与元素概念间的语义关联,并以语义链接网络构建技术构建由科技文献资源层、知识单元描述层及知识单元语义链接层组成的、具有多层次语义链接关系的科技文献资源语义空间。[结果/结论]实验结果表明:该方法能够支持精准的细粒度知识单元检索,且具有良好的查全率和查准率。[Purpose/Significance]In the era of big data,one of the essential reasons for the problem of information overload in scientific literature is that the current scientific literature retrieval system mostly adopts coarse-grained knowledge organization based on the whole literature.In order to alleviate information overload and meet the user's accurate retrieval requirements,it is becoming more and more urgent to go deep into the fine-grained knowledge organization within the literature.[Method/Process]In this paper,a fine-grained knowledge organization method based on knowledge units is proposed.Firstly,the scientific literature is divided into several knowledge units.Then,the semantic relations are analyzed between knowledge units and between the subject concepts and the element concepts.Last,a resources semantic space of scientific literature with multi-level semantic link relationship is constructed based on the technology semantic link network,which consists of the resource layer of scientific literature,the description layer of knowledge units and the semantic link layer of knowledge units.[Result/Conclusion]The experimental result shows that the text resources semantic space oriented to fine-grained knowledge organization can support accurate fine-grained knowledge point retrieval and has good recall and precision.
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