摘要
利用WOS(Web of Science)和Wikipedia两种数据源,对大数据相关的内容进行词频统计、文本归类分析,得出两种数据源下大数据主题的共识和差异,并进一步梳理提炼出大数据领域的主题类别。共同的类别包括整体角度、技术层面、应用层面、实体和活动等,进一步细分的主题包括数据及数据源、大数据处理和分析技术、大数据系统和应用、国家地区以及企业的推动、社会和人的讨论、行业和学科变化等。最后论文还结合相关数据探讨了大数据领域的研究前沿。
This paper tries to get the consensus and difference of＂big data＂ by analyzing the word frequency and text classification based on WOS （ Web of Science） and Wikipedia, and concludes the topics of＂big data＂ and these subject categories. The common classifica-tion can be summarized as overall perspective, technical level, application level, entities and activities, etc. The main topics include data and data sources, big data processing and analysis technology, big data systems and applications, promotions by countries, regions and companies, social and human, and industrial and academic changes, etc. At last the paper explores the research frontiers of the＂big data＂by combining other data analysis.
出处
《情报杂志》
CSSCI
北大核心
2014年第11期124-130,共7页
Journal of Intelligence
