| 靳嘉林,王曰芬.大数据环境下知识发现研究的变化及其发展趋向[J].数字图书馆论坛,2018,(5):67~72 |
| 大数据环境下知识发现研究的变化及其发展趋向 |
| The Change of Knowledge Discovery Research and Its Development Trend in Big Data Environmental |
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| DOI： |
| 中文关键词: 知识发现;大数据;研究进展;研究趋向;对比分析;内容分析 |
| 英文关键词: Knowledge Discovery;Big Data;Research Progress;Research Trend;Comparative Analysis;Content Analysis |
| 基金项目:本研究得到国家社会科学基金重大项目"面向知识创新服务的数据科学理论与方法研究"(编号:16DZA224)和江苏省研究生科研创新计划项目"基于数据科学理论的科技情报知识库构建研究"(编号:KYCX17_0302)资助. |
| 作者 | 单位 | | 靳嘉林 | 南京理工大学 | | 王曰芬 | 南京理工大学 |
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| 中文摘要: |
| 随着信息技术的进步与知识经济的快速发展,知识发现作为知识创新和知识服务的关键过程,受到学术界的关注.知识发现以数据为起点,因此大数据的兴起又为知识发现提出新课题.本文以CNKI和WOS为数据源检索文献,以大数据被关注变化突增的2012年作为时间节点,分别从国内、国外对比分析2012年前后的研究差异,以探究大数据对知识发现研究的影响.进而,通过对2012年以后知识发现文献的内容解析,评述大数据影响下知识发现研究内容的变化与发展.结果发现,大数据的出现使得国内知识发现技术方法研究的重点从数据挖掘技术转为数据准备技术和应用,而国外的研究重点涉及知识发现的各个阶段,国内需要加强知识发现的结果评估与解释阶段研究. |
| 英文摘要: |
| With the progress of information technology and the rapid development of knowledge economy, knowledge discovery, as the key process of knowledge innovation and knowledge service, is concerned by academic circles. Data is the starting point of knowledge discovery, so the rise of big data has put forward a new topic for knowledge discovery. In this paper, CNKI and WOS retrieval are used as data sources, and 2012, which is highlighted by big data, is used as a comparative time node. The paper compare the differences before and after 2012, respectively from two aspects at home and abroad, in order to explore the impact of big data on knowledge discovery. Then, through reading and classifying, the paper do content analysis for the knowledge discovery literature after 2012, and review the change and development of the specific research contents of knowledge discovery under the influence of big data. Through the comparative analysis and content analysis, this paper found that the emergence of big data made the key of research on domestic knowledge discovery method from data mining to data preparation and application, while foreign research focus on all stages of knowledge discovery. Domestic research need to strengthen the results evaluation and interpretation stage research of knowledge discovery. |
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