情报学跨学科知识引用实证研究被引量：28

Empirical Study on Knowledge Citations of Other Disciplines to Information Science

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摘要采用引文分析、共词分析和社会网络分析方法,选择计算机科学、科学学两个学科,对情报学跨学科知识引用情况进行实证研究,在此基础之上探讨情报学学科的交叉属性。研究结果表明了方法的可行性;从引文分析和内容分析的角度说明了计算机科学研究中的文本分类、信息抽取、本体研究、语义网、数据挖掘、协同推荐等是信息检索、信息组织、信息服务等情报学研究的技术支撑;知识管理、专利研究、科学评价、科学知识图谱是情报学和科学学研究的共同领域。 This study uses three methods of direct citation,co-word analysis and social network analysis to investigate knowledge imports from computer science and science of science to information science.The results show the feasibility of the proposed method.Many research domains of computer science,such as text categorization,information extraction,ontology research,semantic web,data mining and collaborative recommendation,provide a strong technical basis for information science.Knowledge management,patent research,research evaluation,mapping of science are the common research fields of information science and science of science

作者孙海生

机构地区聊城大学图书馆

出处《情报杂志》 CSSCI 北大核心 2013年第7期113-118,100,共7页 Journal of Intelligence

关键词情报学跨学科属性引文分析共词分析社会网络分析 information science inter-disciplinary attribute citation analysis co-word analysis social network analysis

分类号 B50 [哲学宗教—外国哲学]

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参考文献24

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