摘要
【目的/意义】关联数据为当前国内外关注的热点话题之一,本文对其新兴趋势进行探索,以期为关联数据的进一步深入研究指明方向。【方法/过程】文章以CNKI中2006-2017年国内关联数据研究的700多篇文献为基础数据,采用突变检测并结合共词分析方法,从突变权重排序、突变词主题时区视图和突变共词聚类知识图谱等不同角度分析关联数据领域研究热点及其新兴趋势演化轨迹。【结果/结论】结果表明,国内关联数据研究文献的突变词类型共有4种,并得出关联数据研究的两大新兴主题,以及关联数据从诞生到发布、互联和应用的一个生命周期的四大研究热点主题。
【Purpose/significance】Linked data is one of the hot topics of current domestic and international attention. Thispaper explores its emerging trends in order to point out the direction for further research on linked data.【Method/process】Based on more than 700 articles in CNKI＇s 2006-2017 domestic linked data research, the article uses burst detection com-bined with co-word analysis methods, from burst weight ordering, burst word topic time zone view and burst co-word clus-tering knowledge map to analyze the research hotspots in the field of linked data and the evolutionary trajectories of emerg-ing trends.【Result/conclusion】The results show that there are four types of burst words in the domestic linked data re-search literature, and two emerging topics in relational data research, as well as four research hot topics in the life cycle ofthe linked data from birth to release, interconnection and application.
作者
杨选辉
蔡志强
YANG Xuan-hui;CAI Zhi-qiang(School of Management,Nanchang University,Nanchang 330031,China)
出处
《情报科学》
CSSCI
北大核心
2018年第11期164-168,共5页
Information Science
基金
江西省社会科学"十三五"规划项目2017年度课题项目(17TQ01)
关键词
关联数据
新兴趋势探测
突变检测
共词分析
linked data
emerging trend detection
burst detection
co-word analysis
