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基于大数据和本体的高校图书馆个性化服务研究
引用本文:李学庆,郑美玉,吴建洪,黄常青,薛华.基于大数据和本体的高校图书馆个性化服务研究[J].农业图书情报学刊,2019,31(9):75-81.
作者姓名:李学庆  郑美玉  吴建洪  黄常青  薛华
作者单位:福建农林大学图书馆,福建 福州 350002
摘    要:目的/意义]如何综合利用大数据和本体二者的优势,提供个性化服务,是当前图书馆迫切需要解决的问题。方法/过程]首先提出构建基于大数据和本体的高校图书馆用户兴趣模型流程,然后设计一种基于大数据和本体的高校图书馆个性化服务模型。结果/结论]该模型能够实现大数据与本体技术的无缝对接,从而为用户提供精准的个性化服务。

关 键 词:大数据  本体  用户兴趣模型  个性化服务  
收稿时间:2019-08-28

Research on University Libraries Personalized Services Based on Big Data and ontology Technology
LI Xueqing,ZHENG Meiyu,WU Jianhong,HUANG Changqing,XUE Hua.Research on University Libraries Personalized Services Based on Big Data and ontology Technology[J].Journal of Library and Information Sciences in Agriculture,2019,31(9):75-81.
Authors:LI Xueqing  ZHENG Meiyu  WU Jianhong  HUANG Changqing  XUE Hua
Institution:Fujian Agriculture and Forestry University Library, Fujian Fuzhou 350002, China
Abstract:Purpose/significance] How to comprehensively utilize the advantages of both big data and ontology to provide personalized services is an urgent problem that libraries need to solve.Method/process] Firstly, the modeling method for library user interests model is put forward based on big data and ontology technology, then, university libraries personalized services model based on big data and ontology technology is put forward. Result/conclusion] Ontology technology can be seamlessly combined with big data to provide personalized services precisely.
Keywords:big data  ontology  user interests model  personalized service  
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