[ "高辉,男,博士,中国国防科技信息中心工程师,主要研究方向为互联网信息获取、信息抽取、知识库构建和信息可视化。" ]
[ "陈钧,男,中国国防科技信息中心高级工程师、研究室主任,中国计算机学会大数据专家委员会委员,中国科学技术情报学会信息技术专业委员会委员,主要研究方向为科技信息大数据、网络工程等。" ]
[ "牛海波,男,中国国防科技信息中心工程师,主要研究方向为大规模互联网信息资源获取、信息重构与融合、知识库构建等。" ]
[ "罗威,男,中国国防科技信息中心副研究员,主要研究方向为信息抽取、大规模文本挖掘。" ]
网络首发:2015-11,
纸质出版:2015-11-20
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高辉, 陈钧, 牛海波, 等. 面向科技情报的互联网信息源自动发现技术[J]. 大数据, 2015,1(4):40-48.
Hui Gao, Jun Chen, Haibo Niu, et al. Internet Information Sources Automatic Discovery Technology for Scientific and Technological Intelligence[J]. BIG DATA RESEARCH, 2015, 1(4): 40-48.
高辉, 陈钧, 牛海波, 等. 面向科技情报的互联网信息源自动发现技术[J]. 大数据, 2015,1(4):40-48. DOI: 10.11959/j.issn.2096-0271.2015040.
Hui Gao, Jun Chen, Haibo Niu, et al. Internet Information Sources Automatic Discovery Technology for Scientific and Technological Intelligence[J]. BIG DATA RESEARCH, 2015, 1(4): 40-48. DOI: 10.11959/j.issn.2096-0271.2015040.
自动获取高质量互联网信息源是科技情报工作的一项基础性研究内容。以网站/网页类信息源和Twitter信息源为研究对象,基于共引关系以及关注关系和文本内容,分别提出了两类信息源的自动发现方法,并面向科技情报领域进行了实验。对信息源自动发现技术应用形式进行了研究,分析了科技情报工作对信息源服务的具体要求,提出了3类应用场景。
It is a basic work to discover high quality internet information sources automatically for scientific and technological intelligence.The technology of website/webpage information sources discovery was presented based on the co-citation relationship
and the technology of Twitter information sources discovery was presented based on the following relationship and content analysis.Then
the application forms of automatic discovery of information sources were discussed.Three kinds of application scenarios were presented based on the analysis of the requirements of scientific and technological intelligence.
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