基于大数据和本体的高校图书馆个性化服务研究  

Research on University Libraries Personalized Services Based on Big Data and ontology Technology

作　　者：李学庆[1] 郑美玉[1] 吴建洪[1] 黄常青[1] 薛华[1] LI Xueqing;ZHENG Meiyu;WU Jianhong;HUANG Changqing;XUE Hua(Fujian Agriculture and Forestry University Library,Fujian Fuzhou 350002,China)

机构地区：[1]福建农林大学图书馆

出　　处：《农业图书情报》2019年第9期75-81,共7页Agricultural Library and Information

基　　金：福建农林大学图书馆图书情报科技创新专项基金项目“基于大数据和本体的高校图书馆个性化服务研究”

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。[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.

关 键 词：大数据 本体 用户兴趣模型 个性化服务 

分 类 号：G250.76[文化科学—图书馆学]