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Position: Home > Articles > Research on Hot Points in the Field of National Correlation Data Times Agricultural Machinery 2016,43 (11) 39-41+58

国内关联数据领域研究热点分析

作  者:
汪淑娴
单  位:
华中师范大学
关键词:
关联数据;信息资源;模型架构;语义关联
摘  要:
文章以中国知网为数据来源,利用关键词共词分析法,将BICOMB2.0与SPSS20.0相结合得出相关的图表。通过研究发现关联数据领域主要围绕7大主题,这有利于关联数据领域研究热点的明确。图书情报领域研究人员可以通过关注和把握关联数据领域研究热点,推进图书馆信息服务的发展。
译  名:
Research on Hot Points in the Field of National Correlation Data
作  者:
WANG Shu-xian;Huazhong Normal University;
关键词:
linked data;;information resources;;model structure;;semantic association
摘  要:
The paper takes CNKI as data source,uses keywords co-term analysis methods,and gets relevant charts by SPSS20.0 and BICOMB2.0.The study found that linked data fields are mainly around 7 main themes,which is good for the clearness of hot points in the field of correlation data,researchers of books intelligence can promote the development of library information service by grasping and concerning the hot points of correlation data.

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