面向科技情报的互联网信息源自动发现技术

摘要：

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。

关键词: 科技情报, 互联网信息源, Twitter, 共引, 社会网络分析

Abstract:

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.

Key words: scientific and technological intelligence, internet information source, Twitter, co-citation, social network analysis

中图分类号: 

• TP311.13

引用本文

高辉, 陈钧, 牛海波, 罗威. 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): 48-56.

Hui Gao, Jun Chen, Haibo Niu, Wei Luo. Internet Information Sources Automatic Discovery Technology for Scientific and Technological Intelligence[J]. Big Data Research, 2015, 1(4): 48-56.

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链接本文: https://www./bdr/CN/10.11959/j.issn.2096-0271.2015040

               https://www./bdr/CN/Y2015/V1/I4/48