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題名:大數據驅動下的圖書情報學科熱點領域挖掘--面向WOS題錄數據的實證視角
書刊名:圖書館論壇
作者:李信李旭暉陸偉黃薇
出版日期:2017
卷期:2017(4)
頁次:49-57
主題關鍵詞:大數據數據驅動圖書情報共詞分析聚類分析Big dataData-drivenLISCo-word analysisClustering
原始連結:連回原系統網址new window
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  • 點閱點閱:1
文章以Web of Science TM核心集中圖書情報學科的"大數據""數據驅動"文獻為數據源,分析大數據驅動下圖書情報學科研究的現狀和進展;借助SATI和SPSS軟件對507篇文獻的關鍵詞進行共詞分析和聚類分析。研究表明:大數據驅動下的圖書情報學科研究熱點主題主要集中在數字圖書館知識組織與語義互聯、社會網絡大數據、科研大數據管理與共享、云計算與信息安全、政府數據開放與共享、大數據驅動的知識發現、E-learning與高等教育、數據挖掘與數字人文等方面。
On the basis of literatures about the subjects of "big data"and "data-driven"from Web of ScienceTM,this article analyzes the present research and progress of big data-driven library and information science. The authors use the co-word analysis and clustering methods to process the all 507 papers with the help of SATI and SPSS software. The results show that knowledge organization for digital library and semantic interconnected,big data from social network, scientific data management and sharing, cloud computing and information security,government information open accessing and sharing,big data-driven knowledge discovery,e-learning and higher education,data mining and digital humanities are the eight frontiers in this field. Then every hot research topic is analyzed in details.
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