基于ⅡG和LSI组合特征提取方法的文本聚类研究

本文利用改进的信息增益特征选择方法和潜在语义索引技术组合的特征提取方法,对文本进行了有效的自动聚类.从语料库中抽取了250篇文本,首先利用向量空间模型和改进的信息增益特征选择方法,构造文本特征向量,利用C-均值方法聚类,聚类结果准确率、查全率、F-measure分别达到0.82、0.88、0.83.在此基础上,对最优的特征选择结果运用潜在语义索引方法,对奇异值分解的结果进行截断处理,发现奇异值K取40时聚类结果的准确率、查全率、F-measure达到0.95、0.57、0.78,在有效地降维的同时,大幅度地提高了聚类的准确率.     

知识博客与知识管理的差异探析

文章从知识管理与博客的发展历史着手,从管理方式、管理理念、所提供的知识内容、所适合的管理范式、产生的影响等方面分析了两者的差异,并提出知识博客在图书馆联盟中的重要应用。认为知识管理与知识博客虽然各具优势,但为了适应社会的发展,仍有许多有待改进和提高的方面。     

打造地方电视媒体强势品牌

敢为天下先的福建电视人，早在1999年5月，就开办了我国内地第一家全天24小时滚动播出的新闻专业频道。经过六年的打拼，福建电视新闻频道已成为当地最具影响力的电视频道。本栏刊发的六篇文章，从不同侧面、不同角度总结了该频道的创办理念、成功经验；同时分析了发展中遇到的障碍和瓶颈，探讨了进一步打造频道强势品牌的对策。我们认为，福建电视新闻频道的同仁们在取得显著成绩之后，敢于正视面临的困难，认真寻找存在的问题，善于思考今后的出路，以谋求更大更新发展的精神，对进一步加强频道品牌建设，无疑是十分重要的。     

我国高校图书馆虚拟馆藏的开发

一、高校图书馆虚拟馆藏构成及特色根据虚拟馆藏的建设方式，高校图书馆虚拟馆藏可分为自建馆藏与引入馆藏两大类。自建馆藏包括书目数据信息库、文本数据信息库、实体馆藏的数字化资源、自建光盘磁盘数据库、网络信息资源深加工信息、自建专题数据库、高校数据库整合资源及高校图书馆的OPAC系统资源。引入馆藏则包括购买或试用的各类数据库产品(如CNKI、WAP、EI等)、网络导航资源、电子出版物(电子图书、电子期刊等)、OCLC联机检索信息及其他     

英语学术界的若干论著体例及其启示-对建立中文学术规范体系的思考

文章介绍了英语学术界流行的若干论著体例,包括MLA、APA、Chicago、Vancouver、Harvard、Oxford等体例,指出英语学术界的学术规范体系对于中文学术规范体系的建立具有很强的借鉴意义。应在遵循基本规范的前提下保持各学科领域体例的相对自由和独立,积极发挥学术团体在规范制订中的作用,在强调规范约束力的同时加强对作者与编者的教育与指导,早日建立起中文学术界科学合理的学术规范体系。     

智慧院所背景下企业档案工作面临的新形势与新发展

国家军民融合战略的逐步实施对传统军工科研院所带来了冲击,同时也带来了军用技术转型升级的巨大机会.当前,我国军工科研院所广泛开展智慧院所建设,这给档案工作提出了新的要求.论文分析了智慧院所背景下企业档案工作面临的新形势,探讨了智慧院所背景下企业档案工作的发展路径,以期为智慧时代军工科研院所以及其它企业档案工作发展提供借鉴.     

高校档案档号编制改革刍议——基于新版《归档文件整理规则》的启示

《归档文件整理规则》(DA/T22-2015)首次提出归档文件档号编制内容,其基本立意是通过规范化的档号编制促进全国范围内的档案信息集成与资源的在线共享,这为《高等学校档案实体分类法》的档号编制改革提供了参考蓝本.论文通过对二者的比较分析,明确了新形势下高校档案档号编制的原则要求,在对整理规则和实体分类进行技术处理的基础上,提出了一套适用于高校档案的档号格式.     

《中国科技期刊国际影响力提升计划》对所资助期刊提升作者国际化水平的作用

通过对《中国科技期刊国际影响力提升计划》第1批资助的46种SCI来源期刊资助前后的作者国际化水平进行对比分析,并与41种未受资助的我国SCI来源期刊做比较,探讨该计划对其资助期刊作者国际化水平的作用.结果表明:该计划对提升我国科技期刊作者国际化水平发挥了积极作用.期刊的作者国际化水平与期刊影响力具有较高的相关度.     

Research universities on the ResearchGate social networking site: An examination of institutional differences,research activity level,and social networks formed

As one of the largest active academic social networking sites, ResearchGate (RG) has been utilized by scholars to share publications, seek collaborators, communicate work in progress, and build scholarly reputation. This study collects data from RG users from 61 U.S. research universities at different research activity levels, as categorized by the Carnegie Classification of Institutions of Higher Education, to examine the impact of institutional differences on RG reputational metrics. The results confirm that RG is a research-oriented academic social networking site that closely and realistically mirrors the research activity level of institutions. With an increase in the research activity level of a university, its affiliated RG users tend to have higher RG scores, more publications and citations, and more profile views and followers, while the average number of reads of their publications and followees tend to be lower and fluctuant. In addition, RG users primarily follow others from institutions of a higher research activity level, forming virtual social networks centered around esteemed institutions. The study suggests academic social networks can serve as indicators in evaluation of research activities among research institutions, and such sites can be helpful and credible for acquiring resources, keeping informed about research, and promoting academic influence.     

Four pitfalls in normalizing citation indicators: An investigation of ESI’s selection of highly cited papers

InCites Essential Science Indicators is becoming increasingly used to identify top-performing research and evaluate the impact of institutes. Unfortunately, our study shows that ESI indicators, as well as other normalized citation indicators, have the following flaws. First, the publication month and the online-to-print delay affect a paper’s probability of becoming a Highly Cited Paper (HCP). Papers published in the earlier months of the year are more likely to accumulate enough citation counts to rank at the top 1% compared with those published in later months of the year. Papers with longer online-to-print delays have an apparent advantage for being selected as HCPs. Research field normalizations lead to the third pitfall. Different research fields have different citation thresholds for HCPs, making research field classification important for a journal. In addition, the uniform thresholds for both articles and reviews in ESI affect the reliability of HCP selection because, on average, reviews tend to have higher citation rates than articles. ESI’s selection of HCPs provides an intuitive feel for the problems of normalized citation impact indicators, such as those provided in InCites and SciVal.