网络信息内容质量探析

本文就当前我国网络信息内容质量问题，根据信息结构对网络信息内容进行了分类，并分析了网络信息内容的现状与原因，提出了几点看法与建议，希望能够促进我国网络信息内容的发展。     

谈高校图书馆门户网站建设

高校图书馆网站建设是高校校园网网站建设的一部分，其门户网站网页的制作显得非常重要．它的建设要置干校园网之中，要体现高校图书馆的特色。为高校师生的学习、教学、科研提供优质的信息资源和知识服务，架起图书馆资源、服务与读者之间的桥梁。     

Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments

Search facilitated with agglomerative hierarchical clustering methods was studied in a collection of Finnish newspaper articles (N = 53,893). To allow quick experiments, clustering was applied to a sample (N = 5,000) that was reduced with principal components analysis. The dendrograms were heuristically cut to find an optimal partition, whose clusters were compared with each of the 30 queries to retrieve the best-matching cluster. The four-level relevance assessment was collapsed into a binary one by (A) considering all the relevant and (B) only the highly relevant documents relevant, respectively. Single linkage (SL) was the worst method. It created many tiny clusters, and, consequently, searches enabled with it had high precision and low recall. The complete linkage (CL), average linkage (AL), and Ward's methods (WM) returned reasonably-sized clusters typically of 18–32 documents. Their recall (A: 27–52%, B: 50–82%) and precision (A: 83–90%, B: 18–21%) was higher than and comparable to those of the SL clusters, respectively. The AL and WM clustering had 1–8% better effectiveness than nearest neighbor searching (NN), and SL and CL were 1–9% less efficient that NN. However, the differences were statistically insignificant. When evaluated with the liberal assessment A, the results suggest that the AL and WM clustering offer better retrieval ability than NN. Assessment B renders the AL and WM clustering better than NN, when recall is considered more important than precision. The results imply that collections in the highly inflectional and agglutinative languages, such as Finnish, may be clustered as the collections in English, provided that documents are appropriately preprocessed.     

信息检索中的相关性研究

本文系统地阐述了国外信息检索中的相关性研究 ,具体的论述按照三个阶段展开 ,分别是 195 8年之前的第一阶段 ,195 8— 1976年的第二阶段以及 1976年之后的第三阶段 ;其中每一阶段的阐述又被分为理论与实证两部分     

在元数据标准框架基础上用XML构建语义网

语义网是对网上信息语义及其之间各种联系的描述，可以提高计算机对各种信息的分析和处理能力，是下一代互联网的一个发展方向。文章首先介绍了语义网的基本概念及应用，然后描述了元数据的概念并重点介绍了RDF及其应用，最后提出要综合运用XML和RDF构建语义网。     

传统文献组织与网络信息组织之比较

知识经济时代，“数字地球村”已并非神话，网络信息铺天盖地而来。图书馆传统文献组织与网络信息组织的实质是知识组织，分类法和主题法是知识组织的基本方法。探讨网络信息组织与传统文献组织之间的关系及其发展趋势，无疑具有重要的现实意义。     

数据挖掘技术在科研信息服务中的应用研究

针对网络信息检索的现状，本文从数据挖掘、序化、组织和应用等方面，论述了基于数据挖掘技术的网络信息检索优势，对拓展科研信息服务提出了几点建议。     

情报检索系统用户相关性判断的灰色聚类决策

所谓灰色聚类决策,就是按多个不同的决策指标对决策对象进行综合评价,以确定决策对象是否满足给定的取舍原则。该方法可以用于对情报检索系统的检索结果进行相关性判断。参考文献4。     

RSS/ATOM:提高图书馆服务水平的新技术

如何利用新技术来提高图书馆的服务水平一直是图书馆人思索的问题。RSS／ATOM是博客流行的技术基础，它的统一信息发布标准可以用来改善图书馆的服务手段，提高图书馆的服务水平，为图书馆带来了新的发展机会。本文首先分析了RSS／ATOM的基本原理，然后探讨了该技术在图书馆服务方面的应用，如信息发布、知识交流、营造交流空间等。     

They’re good blogs,Brent: (Mostly) painless branding for information professionals

ABSTRACT

Social media is a powerful tool for building an online presence, but it asks a lot. While it affords plentiful opportunities for professional development and networking, building a professional brand in an online space is not without its drawbacks and risks. By working from a set of actionable principles and benchmarks, users can minimize frustrations and setbacks to build a useful professional presence, all while imbuing the web with the tenets of good information stewardship.