西文手稿资料的编目实践与探索

论文以ISBD、AACR2相关规则为依据，结合对西文手稿资料范围、类型及特点分析，探讨西文手稿资料的著录规则与西文普通图书著录规则的差异，并对采用MARC21进行西文手稿资料编目方法及注意事项进行细致的分析与探讨。     

图书馆生态学分析视角

方兴未艾的生态哲学与图书馆生态学的诞生，为人们研究和探讨图书馆问题提供了有效的、新的方法论和研究视角。本文不是要对图书馆活动和现象作具体分析，而旨在探讨用生态学来透视图书馆活动和现象的范式或图式是什么？研究认为，这些范式或图式应该是：主体与环境，遗传与变异，均衡与失调，共生与竞争。认识和理解这些范畴的含义对深入探讨图书馆生态系统的演化具有重要的理论与实践意义。     

参考咨询与学科服务比较研究

从参考咨询和学科服务的发展历史、工作内容、从业人员、服务特点等方面分析了二者的异同, 认为他们一博一专、优势互补。为图书馆从实际出发,建立适合本馆情况的创新服务体系提供了参考。     

授权影印版西文图书的编目探讨

在对授权影印版西文图书的特征进行分析描述的基础上，结合西文文献编目原则及MARC21著录格式，探讨了该类出版物的文种归属问题及其编目方法，并提出了建议。     

中文社会科学网站评价实例研究

中文社会科学网站的评价对网站的建设和学术研究都有十分重要的意义。文章以图书情报类网站为例进行评价研究，得出该学科的核心网站，并以此为基础探讨中文社会科学网站评价指标与方法体系。     

做好读者服务工作为学习型社会服务

图书馆是传播科学文化的园地，肩负着提高全民族文化素质的使命。图书馆各项职能履行得到位与否，为读者服务是其关键。文章从在学习型社会中读者服务工作面临的挑战和机遇出发，重点探讨了高校图书馆做好读者服务工作的途径。     

信息构建(IA)与信息组织的比较研究

对信息构建（IA）和信息组织进行了比较研究，指出两者在研究对象、研究目的上存在一致性，同时指出信息构建与信息组织在其产生的社会背景、所采用的技术方法以及两者与情报学的关系方面存在相异性。     

概念地图及其结构分析在知识评价中的应用(Ⅲ):实证研究

进行概念地图的结构分析可以在一定程度上有效地评价知识。对概念地图作为知识评价工具的研究框架进行了实证分析;提出了18个概念地图结构分析的测量指标,并验证了这些指标的信度和效度。对概念地图及结构分析在知识评价中应用的实证研究,为进一步利用概念地图全面评价知识奠定了基础。表3。图4。参考文献46。     

Two-stage statistical language models for text database selection

As the number and diversity of distributed Web databases on the Internet exponentially increase, it is difficult for user to know which databases are appropriate to search. Given database language models that describe the content of each database, database selection services can provide assistance in locating databases relevant to the information needs of users. In this paper, we propose a database selection approach based on statistical language modeling. The basic idea behind the approach is that, for databases that are categorized into a topic hierarchy, individual language models are estimated at different search stages, and then the databases are ranked by the similarity to the query according to the estimated language model. Two-stage smoothed language models are presented to circumvent inaccuracy due to word sparseness. Experimental results demonstrate that such a language modeling approach is competitive with current state-of-the-art database selection approaches.     

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.