学术网络空间的主题发现与信息组织研究的力作——评《学术Web主题结构挖掘研究》  

A Monograph on Subject Identification and Information Organization in Academic Web Space:Book Review on Research on Subject Structure Mining of Academic Web

作　　者：刘志辉[1] Liu Zhihui(Institute of Scientific and Technical Information of China,Beijing 100038)

机构地区：[1]中国科学技术信息研究所,北京100038

出　　处：《情报探索》2020年第6期132-134,共3页Information Research

摘　　要：[目的/意义]对社会科学视角下Web主题结构挖掘研究的最新著作进行述评。[方法/过程]从数据采集技术、主题信息抽取和专题Web信息资源组织等方面,介绍了《学术Web主题结构挖掘研究》一书的核心内容,并点评了其主要研究贡献。[结果/结论]该书为宏观Web主题结构分析研究提供了系统化的解决方案,是近年来这一研究方向为数不多的专著。[Purpose/significance]The paper introduces the latest monograph on the topic of Web subject structure mining from the perspective of social science.[Method/process]The paper summarizes the techniques of data collection subject extraction and organization of topic-specific Web information resources in the book of Research on the Subject Structure Mining of Academic Web and comments the major contributions of this book.[Result/conclusion]This book provides a systematic solution for macro Web structure analysis and is considered one of the excellent monographs on this topic in recent years.

关 键 词：主题抽取 WEB结构挖掘 书评 

分 类 号：G35[文化科学—情报学]