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。     

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。     

关于外国责任者在7--字段的名称规范问题

分析了外国责任者在7--字段规范编目中存在的问题，根据实践经验，提出一些规范编目的方法，力图探索出一种更实用、更规范的编目方式。     

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.     

从信息构建看未来的知识管理

本文从信息构建出发 ,进而引申到知识管理与知识推理 ,最终提出了知识基础工程。在设计并实现自然语言的语法开发平台时 ,产生了构建知识库的设想。利用语法开发平台 ,就可以对自然语言的语法进行开发 ,加上一个好的算法 ,就可以对大规模文本进行自动分析。对分析过的句子进行内容提取 ,并用面向对象方法和逻辑形式进行格式化 ,得到以面向对象为特征的常识知识库和以逻辑命题为特征的专家知识库 ,这应该是知识发现、知识管理的最高层次 ,也是知识工程的核心     

网上外文科技期刊最新论文题录保障系统的研制

介绍网上外文科技期刊最新论文题录保障系统的研制目标、总体结构及主要功能,着重阐述系统自动下载和自动标 引的实现方法。     

试论多媒体信息检索的发展

文章通过对文本信息检索语言发展的分析，得出检索语言发展的一般规律，由此对多媒体信息检索语言的发展做出回顾和总结，同时对于多媒体信息检索语言的前景进行了展望。     

关于自然语言检索问题

自然语言检索当前仅在关键词检索的层次上已经实现，重点分析了全文检索所适应和不适应的检索要求及其评价，用分析说明了当前关于自然语言检索的主流观点的不切实际，指出自然语言检索的发展方向是与情报检索语言结合和融合。     

从五十年馆藏西文文献看国外藏学研究及藏学文献的发展

通过对馆藏西文藏学文献的分析,以点带面,概括出国外对藏学研究及国外出版的藏学文献的特色、意义和今后的发展方向,以及国内在收藏和利用国外有关文献时应注意的问题,从而为藏学研究工作者提供更好的文献资源服务。