基于语义的馆藏资源深度聚合模型探析  

The Aggregation Wodel of Library Resources Based on Semantic Methods

作　　者：李劲[1,2] 程秀峰[2] 宋红文[3] 张华[1] 

机构地区：[1]湖北民族学院信息工程学院,湖北恩施445000 [2]华中师范大学信息管理学院,湖北武汉430079 [3]华中师范大学数学与统计学学院,湖北武汉430079

出　　处：《湖北民族学院学报（自然科学版）》2013年第2期212-215,共4页Journal of Hubei Minzu University(Natural Science Edition)

基　　金：国家社会科学基金重点项目"基于语义的馆藏资源深度聚合与可视化展示研究"(11AZD090)

摘　　要："信息孤岛"和"资源超载"现象在当今馆藏数字资源建设中普遍存在,这种因资源的海量、多样性和异构性,在一定程度上制约了资源的利用与建设.为了缓解此类压力,需要对数量巨大的异构馆藏资源进行聚合与重组,本文提出了基于语义的馆藏资源聚合模型,更好地满足用户的各种信息需求,进而提高了馆藏资源的利用率.Nowadays the phenomenon of ＂information island＂ and ＂information resource overloading＂ in the field of library digital resource construction is quite common.The reason for these two problems is the diversity and unequal structure of the data. These two problems have limited the efficiency of data unifica- tion. In order to solve such problems, we need to group and reorganize the heterogeneity of massive a- mounts information. This paper presents a library resource fusion model based on semantic methods, it can better meet the information needs of users and improve the coefficient of utilization of digital library resource usage.

关 键 词：语义 馆藏资源 聚合 模型 

分 类 号：C931.6[经济管理—管理学]