ZHANG Ying.Analysis on Construction of Library Knowledge Mining System for Knowledge Services[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2020,44(3):34-36,40.[doi:10.3969/j.issn.2095-5707.2020.03.009]
面向知识服务的图书馆知识挖掘系统构建探析
- Title:
- Analysis on Construction of Library Knowledge Mining System for Knowledge Services
- 文章编号:
- 2095-5707(2020)03-0034-03
- Keywords:
- knowledge services; academic literature; knowledge mining; libraries
- 分类号:
- G250.7；G252
- 文献标志码:
- A
- 摘要:
- 对海量学术文献资源进行知识挖掘，是保障知识服务质量的关键。图书馆要合理利用知识挖掘工具，做好学术文献资源的开发利用工作。文章从有利于海量学术文献资源的采集、检索和有利于数字图书馆建设方面，论述了图书馆开展知识挖掘的必要性，提出了面向知识服务的海量学术文献资源的知识组织流程，即知识采集与筛选、知识有序化组织、知识挖掘分析。从文献资源的内容、结构、用法3个维度进行知识挖掘，以建构海量学术文献资源的知识挖掘系统。
- Abstract:
- Knowledge mining of massive academic literature resources is the key to ensuring the quality of knowledge services. Libraries should make rational use of knowledge mining tools and do a good job in the development and utilization of academic literature resources. This article expounded the necessity of knowledge mining in libraries from the aspects of being conducive to the collection and retrieval of massive academic literature resources and the construction of digital libraries, and proposed the knowledge organization process of massive academic literature resources for knowledge services, namely knowledge collection and screening, knowledge orderly organization, and knowledge mining analysis. It also recommended that knowledge mining should be carried out from the three dimensions of content, structure and usage of literature resources to construct a knowledge mining system of massive academic literature resources.
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备注/Memo
收稿日期：2019-10-31
更新日期/Last Update:
2020-05-22