文章摘要
刘 伟.基于内容特征元数据的多源异构科技资源关联聚合研究[J].中国科技资源导刊,2020,(5):28~34
基于内容特征元数据的多源异构科技资源关联聚合研究
Research on Correlation and Aggregation of Scientific and Technical Resources Based on Content Feature
投稿时间:2020-06-15  
DOI:
中文关键词: 科技资源;内容特征;元数据;主题抽取;关联聚合
英文关键词: scientific and technical resource, content feature, metadata, subject extraction, correlation and aggregation
基金项目:国家重点研发计划“分布式科技资源体系及服务评价技术研究”课题二“面向资源科技云的分布式协同机制及模式研 究”(2017YFB1400200)。
作者单位
刘 伟 (中国科学技术信息研究所,北京 100038) 
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中文摘要:
      科技资源已成为推动科学技术进步、提升国家科技实力的关键性因素,但科技资源的孤岛问题严重阻碍了 科技资源共享服务。在分析科技资源内容特征元数据的基础上,关联聚合研究多源异构的科技资源的方法,利用知识 组织工具从内容特征元数据中抽取主题概念,利用主题概念建立科技资源之间的关联,继而对不同类型和来源科技资 源进行聚合,利用真实的科技资源元数据进行实证分析,表明该方法在揭示科技资源共享服务方面的有效性。
英文摘要:
      Scientific and technical resources have become a key factor to promote scientific and technical progress and enhance national scientific and technical strength, but the problem of isolated islands of scientific and technical resources has seriously hindered the sharing of scientific and technical resources. By analyzing the characteristics of the content of scientific and technical resources metadata, multi-source heterogeneous resources of science and technology association polymerization method is proposed, which extract theme concepts from the content features of scientific and technical resource metadata with a knowledge organization tool, the subject concepts are used to establish the correlation between scientific and technical resources to implement the aggregation of different types and sources of scientific and technical resources. The empirical analysis on the real scientific and technical resources metadata has carried out to show that the effectiveness of the method.
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