摘要
[目的/意义]大数据服务的需求使得知识组织工作面临更大的挑战,通过发现、理解和分析这些挑战,把握知识组织工作的可能变化,提出应对方法。[方法/过程]聚焦知识组织系统构建和应用,从大数据服务项目实践真实案例出发,分析知识组织不同角度的挑战,并提出应对策略。[结果/结论]大数据服务中知识组织挑战可以分为数据膨胀、文献保证、集成和应用等4个方面,提出包含新型知识结构、多来源更新策略和弹性应用服务模式的面向大数据服务的系列知识组织框架,以便能够更好地应对上述挑战。
[Purpose/significance]Big data services bring more challenges to knowledge organization.Through observing,understanding and analyzing these challenges,knowledge organization work stakeholders would grasp possible changes and provide countermeasures.[Method/process]Focusing on the construction and application of knowledge organization system,challenges of different aspects of knowledge organization were analyzed and countermeasures were proposed from related real case practice.[Result/conclusion]The challenges of knowledge organization in big data services can be divided into four aspects:data explosion,document assurance,integration and application.A series of knowledge organization frameworks for big data services including new knowledge structure,multi-source updating strategy and elastic application service model are proposed,which can better meet the above challenges.
作者
张运良
Zhang Yunliang(Institute of Scientific&Technical Information of China,Beijing 100038;Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content,Beijing 100038)
出处
《图书情报工作》
CSSCI
北大核心
2020年第4期88-94,共7页
Library and Information Service
基金
中国工程科技知识中心项目“知识组织体系建设”(项目编号:CKCEST-2019-2-2)
中国科学技术信息研究所重点工作项目“科技创新大数据决策分析平台建设”(项目编号:ZD2019-08)研究成果之一。
关键词
知识组织
大数据
知识服务
挑战
对策
knowledge organization
big data
knowledge service
challenge
countermeasure
