知识组织理论下图书馆网络资源发现服务体系优化研究

Research on optimization of library network resource discovery service system under the theory of knowledge organization

大数据环境下,图书馆网络资源发现服务建设工作取得显著成效,但随着大数据时代的来临,网络资源信息和用户群体呈直线几何形式增长,图书馆网络资源发现服务体系中所存在的问题被逐渐放大,集中体现为忽略网络资源的隐喻性检索、网络资源关联性弱、服务技术不全面。为此,文章对图书馆网络资源发现服务体系的发展现状进行研究,分析网络资源发现服务模式存在的不足,在知识组织理论的基础上,提出相应的优化策略,以期为我国研发网络资源发现系统以及进行相关研究提供一定参考。

Under the big data environment, the construction of the library network resource discovery service has achieved remarkable results. However, with the advent of the big data era, the network resource information and user groups are growing in a linear geometric form. The problems in the library network resource discovery service system are gradually enlarged, which are mainly reflected in the neglect of the metaphorical retrieval of network resources, the weak relevance of network resources, and the incomplete service technology. Therefore, this paper studies the development status of the library network resource discovery service system, analyzes the shortcomings of the network resource discovery service mode, and puts forward corresponding optimization strategies on the basis of the knowledge organization theory, in order to provide some references for the research and development of the network resource discovery system and related research in China.