公共图书馆的分馆建设探讨

文章以吉林省图书馆的分馆建设为例，对公共图书馆的分馆办馆模式、资源建设、读者服务进行了探讨。     

珍惜历史共创明天

浙江传媒学院前身是浙江广播电视高等专科学校,于1984年10月17日经国家广播电影电视总局(当时称国家广播电影电视部)批准创办的.学校的创办,适应了我国改革开放以后广播电视事业快速发展的新形势.在这过去的20年中,学校的全体教职员工为学校的发展壮大,实现升本目标,每个人都作出了巨大的努力与牺牲,克服和战胜了许多困难,争取了一次又一次的发展机会,为学校的创建与发展作出了积极的贡献,实现了这个几代人的共同的梦想,将学校升为本科学院.     

基于DOM的Web信息自动抽取

提出了Web页面信息的自动抽取思想，并使用WebBrowser和DOM技术实现了Web页面上网页元素查找、表单自动填写、表单自动提交、自动获得查询结果并自动抽取所需信息的技术，从而实现了Web页面信息的自动抽取。文中还给出了这一方法的实现细节和示例代码。     

KDD活动的开展及其价值分析

介绍了数据库知识发现（KDD）活动的展开要求，着重从它的技术处理流程来分析它的特性及其存在价值与意义。     

清华大学图书馆网络数据备份应用方案设计与实施

随着数字图书馆的建设,网络数据备份变得越来越重要。本文首先简要介绍了网络数据备份的必要性和原理，然后详细阐述了清华大学图书馆依据自身馆藏建设的情况设计和实施的网络数据备份方案。     

信息检索网络教学系统的设计与开发

分析了高校信息检索课实施网络化教学的优势，论述了网络教学系统开发设计的原则，着重介绍了开发设计的信息检索课程网络教学系统的5大模块的功能与结构。并简述了构建网络课程的关键技术。     

论现代远程教育信息资源系统的建设

现代远程教育信息资源系统应按照先进性、实用性、规范性、开放性、经济性的原则确立。要突破传统的设计思路、设置完善的系统功能、采用合理的系统结构,采用高效的信息采编系统、混合式体系结构、分层分布式数据管理模式和最新的流媒体技术,以及综合安全措施。图5。参考文献5。     

Design and evaluation of a personal digital assistant- based alerting service for clinicians.

PURPOSE: This study describes the system architecture and user acceptance of a suite of programs that deliver information about newly updated library resources to clinicians' personal digital assistants (PDAs). DESCRIPTION: Participants received headlines delivered to their PDAs alerting them to new books, National Guideline Clearinghouse guidelines, Cochrane Reviews, and National Institutes of Health (NIH) Clinical Alerts, as well as updated content in UpToDate, Harrison's Online, Scientific American Medicine, and Clinical Evidence. Participants could request additional information for any of the headlines, and the information was delivered via e-mail during their next synchronization. Participants completed a survey at the conclusion of the study to gauge their opinions about the service. RESULTS/OUTCOME: Of the 816 headlines delivered to the 16 study participants' PDAs during the project, Scientific American Medicine generated the highest proportion of headline requests at 35%. Most users of the PDA Alerts software reported that they learned about new medical developments sooner than they otherwise would have, and half reported that they learned about developments that they would not have heard about at all. While some users liked the PDA platform for receiving headlines, it seemed that a Web database that allowed tailored searches and alerts could be configured to satisfy both PDA-oriented and e-mail-oriented users.     

Web usage mining at an academic health sciences library: an exploratory study.

OBJECTIVES: This paper explores the potential of multinomial logistic regression analysis to perform Web usage mining for an academic health sciences library Website. METHODS: Usage of database-driven resource gateway pages was logged for a six-month period, including information about users' network addresses, referring uniform resource locators (URLs), and types of resource accessed. RESULTS: It was found that referring URL did vary significantly by two factors: whether a user was on-campus and what type of resource was accessed. CONCLUSIONS: Although the data available for analysis are limited by the nature of the Web and concerns for privacy, this method demonstrates the potential for gaining insight into Web usage that supplements Web log analysis. It can be used to improve the design of static and dynamic Websites today and could be used in the design of more advanced Web systems in the future.     

Character N-Gram Tokenization for European Language Text Retrieval

The Cross-Language Evaluation Forum has encouraged research in text retrieval methods for numerous European languages and has developed durable test suites that allow language-specific techniques to be investigated and compared. The labor associated with crafting a retrieval system that takes advantage of sophisticated linguistic methods is daunting. We examine whether language-neutral methods can achieve accuracy comparable to language-specific methods with less concomitant software complexity. Using the CLEF 2002 test set we demonstrate empirically how overlapping character n-gram tokenization can provide retrieval accuracy that rivals the best current language-specific approaches for European languages. We show that n = 4 is a good choice for those languages, and document the increased storage and time requirements of the technique. We report on the benefits of and challenges posed by n-grams, and explain peculiarities attendant to bilingual retrieval. Our findings demonstrate clearly that accuracy using n-gram indexing rivals or exceeds accuracy using unnormalized words, for both monolingual and bilingual retrieval.