面向用户生成内容的多粒度知识组织研究  

Multi Granularity Knowledge Organization Model for User Generated Content

作　　者：王忠义[1] 郑鑫 王珂莹 Wang Zhongyi;Zheng Xin;Wang Keying(School of Information Management,Central China Normal University,Wuhan 430079)

机构地区：[1]华中师范大学信息管理学院,武汉430079

出　　处：《情报学报》2022年第10期1034-1043,共10页Journal of the China Society for Scientific and Technical Information

基　　金：教育部人文社会科学研究青年基金项目“大数据环境下碎片化用户生成内容的多粒度知识组织研究”(19YJC870025);教育部人文社会科学研究规划基金项目“跨学科知识组织中学科概念跨学科关联研究”(21YJA870003)。

摘　　要：作为大数据时代网络信息资源中的重要资源,用户生成内容(user generated content,UGC)日益受到各领域学者的广泛关注。与传统信息资源不同,UGC的海量碎片化特征导致对其进行知识组织更为困难。为解决这一问题,本文以知识元为单位,提出了一种面向UGC的多粒度知识组织模型,通过对碎片化UGC知识元进行抽取、多粒度关联以及多粒度索引的建立,对碎片化的UGC进行从点到面、从局部到整体的多粒度组织。一方面,以与“检索”相关的碎片化UGC为实验对象,开发了一个多粒度知识组织原型系统,并提供用户接口完成相关的知识检索服务;另一方面,通过实验证明了本文所提出的多粒度知识组织模型的有效性和科学性。As an important text resource of network information resources in the era of big data,user generated content(UGC)has received increasing attention from scholars in various fields.Compared with traditional texts,it is more difficult to organize massive and fragmented UGC texts.Aiming at the fragmentation characteristics of the UGC text,this study proposes a multi granularity knowledge organization model based on the knowledge element.By extracting fragmented UGC knowledge element and establishing multi granularity association and multi granularity index,the fragmented UGC is organized from point to surface and from part to whole.On the one hand,in the empirical research part,pieces of fragmented UGC text are related to“retrieval”to complete multi-granularity knowledge organization,and the user interface is provided to complete the knowledge retrieval service;on the other hand,the effectiveness and scientificity of the multi granularity knowledge organization model proposed in this paper are proved by comparative experiments.

关 键 词：UGC 知识元 多粒度 知识组织 碎片化 

分 类 号：G254[文化科学—图书馆学]