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《空气动力学学报》2012年第30卷第3期有6篇论文英文摘要用了Ei Thesaurus,Revised第6版主题词
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作者 胡沛泉 《西北工业大学学报》 EI CAS CSCD 北大核心 2012年第4期496-496,共1页
关键词 英文摘要 主题词 叙词 检索词 Ei thesaurus Revised
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Research on the development of thesaurus in China
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作者 GAO Wenfei ZHAO Xinli 《Chinese Journal of Library and Information Science》 2008年第Z1期128-138,共11页
Based on the statistics of 130 thesauri having been published in China so far,this article analyzes the development of thesauri in China from the origin,publication year,academic disciplines and quantity of entries co... Based on the statistics of 130 thesauri having been published in China so far,this article analyzes the development of thesauri in China from the origin,publication year,academic disciplines and quantity of entries collected,and re-defines the development stages.In addition,by collecting the 1,000 relevant research papers,the article also analyzes the theoretical studies from the aspects of the quantity of papers and research subjects in order to give a clear picture of the development and features of the researches on thesaurus in China. 展开更多
关键词 thesaurus ONTOLOGY Development stage
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全局本体与局部本体研究
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作者 任瑞娟 《图书馆理论与实践》 CSSCI 北大核心 2008年第4期33-35,共3页
分析了Thesaurus、Taxonomies与Ontology概念的内涵与外延及各自的属性,探讨了三者之间的相互关系,在此基础上提出了建立基于Thesaurus与Taxonomies的分布式本体。这种分布式本体是在语义和知识层次上描述信息系统的概念模型建模工具,... 分析了Thesaurus、Taxonomies与Ontology概念的内涵与外延及各自的属性,探讨了三者之间的相互关系,在此基础上提出了建立基于Thesaurus与Taxonomies的分布式本体。这种分布式本体是在语义和知识层次上描述信息系统的概念模型建模工具,由全局本体与局部本体构成。全局本体构建由Thesaurus、tax-onomies形成的《中国分类主题词表》改造而成,局部本体由局部上层本体与局部下层本体构成。局部本体间的关系问题是未来研究的重点。 展开更多
关键词 thesaurus TAXONOMIES ONTOLOGY 全局本体 局部本体
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Topic Evolution and Emerging Topic Analysis Based on Open Source Software 被引量:4
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作者 Xiang Shen Li Wang 《Journal of Data and Information Science》 CSCD 2020年第4期126-136,共11页
Purpose:We present an analytical,open source and flexible natural language processing and text mining method for topic evolution,emerging topic detection and research trend forecasting for all kinds of data-tagged tex... Purpose:We present an analytical,open source and flexible natural language processing and text mining method for topic evolution,emerging topic detection and research trend forecasting for all kinds of data-tagged text.Design/methodology/approach:We make full use of the functions provided by the open source VOSviewer and Microsoft Office,including a thesaurus for data clean-up and a LOOKUP function for comparative analysis.Findings:Through application and verification in the domain of perovskite solar cells research,this method proves to be effective.Research limitations:A certain amount of manual data processing and a specific research domain background are required for better,more illustrative analysis results.Adequate time for analysis is also necessary.Practical implications:We try to set up an easy,useful,and flexible interdisciplinary text analyzing procedure for researchers,especially those without solid computer programming skills or who cannot easily access complex software.This procedure can also serve as a wonderful example for teaching information literacy.Originality/value:This text analysis approach has not been reported before. 展开更多
关键词 Topic evolution Emerging topics Text mining thesaurus VOSviewer
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