The Future of the Past: Archaeology and Anthropology on the World Wide Web

In the final scene of Raiders of the Lost Ark, a crate containing the object of Indiana Jones' quest is wheeled into an immense warehouse for indefinite storage and questionable research access. Unfortunately, this fate is not all that far from reality. Collections of archaeological and ethnographic materials ranging from stone axes, broken potsherds, and carved monuments to baskets, ceremonial masks, and skin canoes have been held by museums collections since the Renaissance. However, their inestimable value and unique conservation and curatorial requirements often conspire to remove them from the reach of all but the most diligent scholars. The potential of the Web to enhance the quality of research on archaeological and ethnographic collections is enormous. This paper will examine ways that one can use the Web to enhance research and improve access to a variety of materials; while there are many other resources for archaeology available on the Web, this paper focusses on museum-related sites. It will also explore the potential of the Web for innovative research strategies. Digitization of catalogs, associated documents, and images to help one locate and study collections and specific artifacts are just one approach. Others include the connection of devices to the Web, such as cameras and microscopes, the creation of virtual reference collections, and the establishment of research networks that will enhance the identification and analysis of material culture. This paper will also consider the role the Web could play in issues of cultural property, contributing to and in many ways intensifying ongoing debates of ownership, curation, conservation, and repatriation of sensitive materials.     

个人知识管理的三个重点领域

本文认为，个人灵感知识管理、个人知识项目管理和个人学习管理是个人知识管理的三个重点领域，个人灵感知识管理的重点在于及时管理，个人知识项目管理的重点在于创新管理，个人学习管理的重点在于针对性管理，并分别论述了三者的管理内容和相应的管理方法。     

图书馆软环境发凡(下)

图书馆应当拥有自己的精神资源。图书馆应当营造自己的精神家园。原因是：图书馆的发展光靠管理与制度体系的完善，仍然是不能独善其身的，精神动力的领军作用不可或缺。     

基于概率神经网络的文本自动分类研究

本文提出了将一种径向基网络的重要变形———概率神经网络应用于文本自动分类的研究 ,与常用的K 最邻近法相比 ,具有一定的优势 ,特别是在训练集中各类的训练样本数很不平衡时 ;与BP等其他神经网络相比 ,其特点是需调节的参数少 ,不需确定隐层数、隐层中的神经元数量等网络结构 ,比较容易使用。此外 ,从研究中的不同特征选择的评价函数来看 ,它们对分类有一定的影响 ,应用X2 统计进行特征选择的分类正确率最高 ,其次是文本证据权 ,而期望交叉熵的效果最差 ,说明特征选择在文本自动分类中也是非常重要的。     

网络环境下数字图书馆的安全与防范措施

阐述了网络环境下影响数字图书馆安全的因素，提出了保护数字图书馆信息安全的防范措施。     

加强期刊间的学习与交流

期刊是作者与编辑智慧的结晶,每种期刊都有值得他人学习、借鉴之处.加强期刊间的相互学习与交流,有助于及时掌握科技动态和作者信息,提高编辑素质,吸取他人之长补自己之短.     

有效的制度供给是高校图书馆事业发展的保障--2002年版《普通高等学校图书馆规程》评述

法治时代，有效的制度供给是推动各项事业发展的前提和保障。2002年新修订的《普通高校图书馆规程》与原来的《规程》相比有较大的进步，它将进一步推动我国高校图书馆事业的发展，为了更好地理解、把握其的精神实质，本文对其进行评述。     

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.     

数学化对学生学习数学概念的影响——以“小数”概念学习为例

"数学化"这一概念最初是由荷兰数学家和数学教育家弗赖登塔尔(H.Freudenthal,1905—1990)提出的。"数学化"既是数学教学的过程,也是数学教学的结果。以"小数"概念学习为例,将数学化的过程呈现在数学概念的教学中,第一次学习是水平数学化,即由现实问题到数学问题的学习;第二次学习是垂直数学化,即由具体问题到抽象概念的学习。在这两次教学实践过程中,生活经验、模型支撑、多种表征都对学生"小数"概念数学化有一定的帮助。