高校图书馆外刊入藏的困境及对策研究--兼论外文期刊的开发利用

影印刊因我国入世后履行对知识产权保护承诺而出现断档，原版刊又因价格昂贵使各馆望而生畏。如何克服经费困难，订购原版刊，并对其加大开发利用力度，作者对此提出了应取的对策。     

近年来我国数字图书馆建设的主要障碍及发展策略

针对我国数字图书馆建设中的主要障碍，提出了相应的发展策略：争取政府和社会各界支持，研究开发和引进关键技术，加强标准化和规范化研究，组织与建设数字化信息资源，妥善解决知识产权问题，加强人才的培训和引进。     

基于印刷与电子索引工具的文献双检策略——以“高师学生心理素质研究”项目为例

双检策略,是指同时采用印刷本和电子数据库两种索引工具来完成同一课题文献检索的方法。其做法是根据课题内容要求,选择合适的检索工具,分别采用其纸印本和光盘或网络版,进行文献检索,并对其结果进行分析、选择。双检策略不仅能保证文献查询全面、准确,而且能保证质量,利于科研。参考文献6。     

基于竞争情报的企业危机管理

竞争情报所关注的是与企业竞争相关的各类信息。竞争情报工作应关注的问题有:预见和消化科学技术急速发展可能带来的后果;检查收益指标;针对可能发生的危机,制定竞争情报策略;商业环境监测;留意企业并购、投资、竞争领域选择等方面的决策,及时预测和发现可能对企业造成危机的相关环节,寻找合适的解决办法,最大限度减少企业危机。参考文献11。     

Internet信息资源的检索策略

本论述了Internet信息资源的类型、检索工具的种类，提出了Internet资源的检索策略和技巧。     

中国目录学复兴论纲

本文站在当代科学的新视角，对我国古今目录学的内容、性质、特点、成就与问题做了梳理与总结，重点探讨了当代目录学复兴战略及实施措施。     

我国图书馆学情报学期刊的发行

调查和分析我国图书馆学情报学期刊发行现状,指出入世后我国图书馆学情报学期刊发行面临的机遇。在此基础上,提出我国图书馆学情报学期刊应注重提高质量和联系读者,并可采取以邮局发行为主自办发行为辅、代理发行、网络出版发行、读者俱乐部、研究会、差别定价、异业渠道发行、编委宣传等多种行之有效的发行方式。     

基于机器学习的自动文本分类模型研究

基于机器学习的方法是自动文本分类中非常重要的一大类方法。本文先给出了形式化的定义，提出了自动文本分类的流程模型，然后选取了支持向量机（Support Vector Machine，SVM）算法作为一个典型例子进行分析，最后作者通过一个中文文本分类实验评价了该算法的效果。     

Analysis of Statistical Question Classification for Fact-Based Questions

Question classification systems play an important role in question answering systems and can be used in a wide range of other domains. The goal of question classification is to accurately assign labels to questions based on expected answer type. Most approaches in the past have relied on matching questions against hand-crafted rules. However, rules require laborious effort to create and often suffer from being too specific. Statistical question classification methods overcome these issues by employing machine learning techniques. We empirically show that a statistical approach is robust and achieves good performance on three diverse data sets with little or no hand tuning. Furthermore, we examine the role different syntactic and semantic features have on performance. We find that semantic features tend to increase performance more than purely syntactic features. Finally, we analyze common causes of misclassification error and provide insight into ways they may be overcome.     

Automatic Alphabet Recognition

The last step of the Information Retrieval process is to display the found documents to the user. However, some difficulties might occur at that point. English texts are usually written in the ASCII standard. Unlike the English language, many languages have different character sets, and do not have one standard. This plurality of standards causes problems, especially in a web environment, where one may download a document with an unknown standard. This paper suggests a purely automatic way of finding the standard which was used by the document writer based on the statistical letters distribution in the language. We developed a vector-space-based method that creates frequencies vectors for each letter of the language and then matches a new document's vectors to the pre-computed templates. The algorithm was applied on various types of corpora in Hebrew, Russian and English, and provides an efficient solution to the stated problem in most cases.