摘要
开展学科知识服务是高校图书馆学科馆员的主要任务之一。文章首先分析了大数据环境下高校图书馆学科知识服务面临的挑战,针对学科知识库构建、智能检索与知识问答以及学科服务平台建设等问题,基于语义网设计了一种面向高校图书馆学科知识服务问题的解决方案并给出应用案例,帮助学科馆员应对大数据环境下学科知识服务的挑战,促进该领域进一步发展。
It is one of the main tasks for subject librarians to provide subject knowledge services in university libraries. Firstly, the challenges are analyzed for subject knowledge service of university libraries in big data environment. To solve the problems inclu- ding the construction of subject knowledge database, intelligent retrieval and question answering as well as subject service platform construction, the paper provides a solution of subject knowledge service problems in university libraries based on semantic web and applies the solution in a practical case in order to help subject librarians deal with the challenges of subject knowledge service in big data environment and promote the field for further development.
出处
《情报理论与实践》
CSSCI
北大核心
2017年第2期107-110,106,共5页
Information Studies:Theory & Application
基金
国家社会科学基金一般项目"基于大规模网络分析方法和内存计算技术的高校图书馆大数据应用模式与实证研究"的成果之一
项目编号:15BTQ016
关键词
高校图书馆
学科知识服务
语义网
本体
university libraries
subject knowledge service
senmntic web
ontology
