iSchools院校图书情报的信息聚合发展趋势分析

Analysis on the Development Trend of Information Aggregation of Library and Information in iSchools

[目的/意义]为了得到信息聚合发展现状和趋势,以iSchools院校图书情报的信息聚合发展趋势为对象进行分析。[方法/过程]利用RSS在iSchools院校数据库中查询并获取信息聚合有关成果,构成与研究条件相符的对象集合,根据数据预处理法实现数据处理,其中包含将对象集合内各统计特征分布情况与关联性依据相应方式计算或者转换,获取相关研究的增长率、高频词汇分布情况和时间-关键词矩阵,并从相关成果增长率、主题分布和新兴主题检测等方面实现图书情报的信息聚合发展趋势分析。[结果/结论]分析结果表明:从论文发表数量层面看,年度论文的总发表量呈线性增长;热点分布趋势为文献关键词的整体规范性比较强,同义表述情况基本上不存在,高频关键词针对性不是很强;主题分布主要集中在信息聚合下应用实践、数据处理视角下知识管理、公共服务视角下信息数据聚合方面;新兴主题趋势为信息环境类主题、本体和语义网类主题、数据科学和机器学习及数据分析等主题。

[Purpose/Significance]In order to obtain the current status and trends of information aggregation,the development trend of information aggregation of library and information in iSchools colleges is analyzed.[Method/Process]This paper uses RSS to query and obtain information aggregation results in the database of iSchools colleges to form an object set that meets the research conditions,and implements data processing according to the data preprocessing method,which includes calculating or converting the distribution of various statistical features and relevance in the object set according to the corresponding method,to obtain the growth rate of relevant research,the distribution of high-frequency vocabulary and the time-keyword matrix,and realize the information aggregation of library and information from the growth rate of relevant achievements,the distribution of topics and the detection of emerging topics development trend analysis.[Result/Conclusion]The analysis results show that:from the perspective of the number of papers published,the total number of annual papers published increases linearly;the trend of hotspot distribution is that the overall standardization of literature keywords is relatively strong,and the synonymous expressions basically do not exist,the frequency keywords are not precisely targeted;the topic distribution mainly focuses on application practice under information aggregation,knowledge management from the perspective of data processing,and information data aggregation from the perspective of public services;emerging topic trends are information environment topics,ontology,and semantic web topics,data science and machine learning and data analysis topics.