| 李广建,化柏林.大数据分析与情报分析关系辨析[J].中国图书馆学报,2014,40(5):14~22 |
| 大数据分析与情报分析关系辨析 |
| Relationship between Big Data Analysis and Intelligence Analysis |
| 投稿时间：2014-06-09 修订日期：2014-07-05 |
| DOI： |
| 中文关键词: 情报学 大数据 大数据分析 情报分析 |
| 英文关键词: Information science Big data Big data analysis Intelligence analysis |
| 基金项目:本文系国家社会科学基金重点项目“大数据环境下的计算型情报分析方法与技术研究”(项目编号:14ATQ005)的研究成果之一。 |
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| 中文摘要: |
| 近年来,包括大数据分析在内的大数据理念和方法引起了图书情报界的密切关注,成为情报学的热点话题之一。通过对比分析,发现大数据分析与情报分析有着天然的联系,两者既有共性,又存在着一定的差异。共性表现在看重对数据的定量分析,关注多源数据融合和强调相关性分析三个方面。同时,两者在数据对象、数据规模、分析任务与分析时机等方面又各具特色。本文认为,应该充分认识这些共性与差异,把情报分析的特色与优势发挥好,以迎接大数据带来的挑战。表1。参考文献25。 |
| 英文摘要: |
| In recent years, the philosophy and methodology of big data have attracted close attention of library and information studies. Integrating the concept of big data has become one of the hot topics in information science. Through comparative analysis, the paper finds the natural connection between big data analysis and intelligence analysis. They share some common features, but also have some differences. The common features include mainly 3 aspects:implementation of quantitative data analysis, fusion of multi-source data and analysis of correlation. Meanwhile, the two have their own characteristics, especially in data objects, data size, analysis tasks and analysis timing. The paper argues that we should fully understand these commonalities, while recognizing their differences, and exert the advantage of intelligence analysis, in order to meet the challenges brought by big data. 1 tab. 25 refs. |
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