论网络环境下情报检索语言的发展趋势   总被引：2，自引：0，他引：2  

易红  徐军华 《高校图书馆工作》2006,26(3):29-31

本文论述了网络环境下采用自然语言是必然趋势,然而自然语言并不会成为网络环境下的唯一检索语言,自然语言和人工语言相结合才是发展的方向.参考文献8.  相似文献   

情报检索语言研究的新领域     

白华 《图书馆杂志》2006,25(11):3-6

情报检索语言的发展面临现代化、理论方法综合化和集成化的新条件,研究新的语言模型,提高检索语言的表达、描述等功能是当前的重要研究课题,同时要具体研究数据库检索语言、网络检索语言、本体论和语义网检索语言。在所有这些领域里,检索语言的机器理解功能日益重要;为适应机器处理的环境,对它的逻辑推理能力的要求越来越高,知识建模功能与系统表达能力受到越来越多的重视。  相似文献   

中文信息处理中的语义关系表示探析   总被引：1，自引：0，他引：1  

刘焘  贾君枝 《现代图书情报技术》2006,1(10):25-29

根据目前中文信息处理的现状对自然语言在句法结构与语义结合方面的需求，对美国加州大学伯克利分校构建的框架网络工程进行探索与研究，详细分析框架网络数据库中最重要的框架关系，并利用这些关系将词汇进行联系形成网状数据库，目的在于利用词与词间的关系进行信息抽取或信息检索时，能够方便准确地进行信息处理并得到理想结果。  相似文献   

西文手稿资料的编目实践与探索     

高红 《新世纪图书馆》2006,(4):20-24

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。  相似文献   

授权影印版西文图书的编目探讨   总被引：4，自引：0，他引：4  

骆冬燕  王慧秋 《图书馆学研究》2006,(10):68-70

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。  相似文献   

图书馆与图书市场互动--变革与发展路向研究   总被引：5，自引：0，他引：5  

黄昕 《图书馆论坛》2006,26(2):18-22

改革开放以来，以图书馆采编业务外包为内核的“服务”作为商品的有机组成部分进入图书馆市场，增添了这个传统市场与时俱进的特色。文章概述了当前图书馆市场的基本状况，指出其中存在的一些问题，并对如何培育好图书馆市场发表了看法和意见。  相似文献   

浅析数字纸张技术对图书馆的影响     

罗燕 《图书馆论坛》2006,26(4):258-260

介绍了数字纸张及其研发历程，剖析了数字纸张尚未解决的技术难题及数字纸张技术与图书馆的关系，并对该技术的前景进行了探讨。  相似文献   

论自然语言检索系统中的控制问题   总被引：1，自引：0，他引：1  

冀颖 《晋图学刊》2006,(1):14-17

本文详细阐述了自然语言检索系统中的控制问题及后控制词表的工作原理、编制方式、使用情况等。  相似文献   

Two-stage statistical language models for text database selection   总被引：2，自引：0，他引：2  

Hui Yang  Minjie Zhang 《Information Retrieval》2006,9(1):5-31

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.  相似文献   

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

Tuomo Korenius  Jorma Laurikkala  Martti Juhola  Kalervo Järvelin 《Information Retrieval》2006,9(1):33-53

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.  相似文献