图书馆智慧服务模式及其构建研究综述     

费立美  潘颖 《图书馆理论与实践》2022,(1)

文章采用文献内容分析法,对图书馆智慧服务模式及其构建相关问题进行总结和论述,发现目前学术界所提出的图书馆智慧服务模式主要有智慧的文献、信息、空间、知识以及其他五种服务模式,构建方法主要集中于"情境感知获取数据、协同融合管理数据、数据驱动智慧分析、空间交互服务用户"四个方面。最后,对拓展和完善智慧服务模式体系、构建统一的建设框架和加快智慧服务应用及实证研究进行了展望。  相似文献   

科学划分书库管理责任区     

刘菊霞 《大学图书馆学报》2008,26(1):77-81

对流通书库的书库管理工作进行岗位分析,利用自动化系统对工作人员所需承担的工作量进行相关的数据统计和分析,建立可操作性强的数学模型,确定各书库合理的人员编制,进一步科学合理地划分工作人员的责任区。  相似文献   

CNMARC格式的604和605字段录入问题释疑     

王松林 《图书馆杂志》2008,27(5):14-16

通过对CNMARC格式的604和605字段的异同点分析,指出国家图书馆与CALLS在这方面录入的差异,供其他编目人员和机构在使用这两个字段时参考.  相似文献   

《文献(信息)检索》课案例教学法初探   总被引：7，自引：0，他引：7  

韩秀梅  张春蕾 《江西图书馆学刊》2006,36(3):76-77

案例教学法是《文献检索》课实践教学中最常用的一种方法。在不同的教学环境中对提高学生的学习兴趣,培养和训练学生的业务能力等均有较明显的效果。但由于种种原因,也存在某些局限性,须通过精选案例、处理数学矛盾、妥善安排时间等扬长避短。  相似文献   

我国图书情报界电子商务研究论文统计分析     

王蕾  王伟军 《江西图书馆学刊》2006,36(4):120-122

在搜集整理相关数据的基础上,分析了图书情报领域电子商务研究论文的产生年代、单位、核心期刊和内容,具体描述了几个与图书情报专业结合密切的主题的研究情况,提出了该领域电子商务研究的另外一些研究方向。  相似文献   

图书馆学对象研究:审问与批判   总被引：9，自引：0，他引：9  

周九常 《大学图书馆学报》2006,24(2):24-28

对图书馆学研究对象的研究重新进行审视,提出了如下几个问题:研究对象的变换何时了?问题之争有多大的必要性?研究对象到底是什么?研究对象与图书馆学成熟的关系如何?是多研究些“问题”还是多谈些“主义”?等等。对这些问题进行了分析和评判。  相似文献   

馆藏评价与新时期馆藏建设工作思考   总被引：2，自引：0，他引：2  

张革联  杜秦丁 《当代图书馆》2006,(2):66-68

从实体馆藏和虚拟馆藏的评价方法及采选原则入手，探讨网络信息时代如何加强馆藏资源建设问题。  相似文献   

我国高校图书馆用户在线信息服务研究   总被引：6，自引：0，他引：6  

范亚芳 《中国图书馆学报》2006,32(2)

对我国34所大学图书馆的网络调研结果表明,用户在线服务存在着信息资源检索服务不够深广、信息参考咨询服务手段缺乏高效、在线电子资源利用教育尚处于建设初期、学科导航个性化不够明显、服务项目缺乏规范化管理等问题。提出整合资源、提供全方位信息资源检索平台,提供在线一体化虚拟学习环境等建设性意见。表1。参考文献6。  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