Based on the analysis of the characteristics of both OPAC and e-learning resources respectively, some key issues of sharing and integration, such as data exchange format, searching interface, and supporting platform, were discussed, and a total model for integration of the two resources was proposed. Moreover, a prototype of sharing search system named Fsearch was developed, with which users can search for both OPAC system and e-learning system simultaneously. The result shows that Fsearch system can effectively improve the efficiency of acquiring knowledge for users and bring forward a preferable application prospect.

The Resource Reservation and Distribution System over satellite-terrestrial network, that we call the system SkyLod for short, is a platform of learning on demand via the hybrid transmission platform of satellite and ground cable network. SkyLod uses receive-only satellite links for downstream data broadcasting, and terrestrial network (like public telephone networks) to provide the upstream communication path. The broadcast nature of Satellite communication makes it an efJicient way to distribute the large amount of resources, such as multimedia courseware and digital library materials. In this paper, we give the model of SkyLod, propose a new and practical approach of resource reservation and scheduling. The prototype of SkyLod has already been implemented and tested on the platform of ASIA-2R satellite and CERNET (China Educational and Research Network). SkyLod is proved to be efficient, flexible and practical in supporting bulk resource distribution.

Motivated by the large requirement of Web answer in E-learning, this paper proposes a novel answer selection scheme of NL-WAS. With our scheme, the semantic types of the user' s question and the semantic templates were used to implement semantics-based answers selection. The semantic type is identified to reduce the retrieval scope firstly. When the semantic type can't be decided easily, the statistical similarity and the semantic similarity are computed to select the right answers. Otherwise, different strategies are proposed to match answers according to the type of user's question. If the semantic types between the user's question and one candidate' s are same, the same parts of their semantic templates are compared. When they have correlative semantic types, the corresponding parts of their semantic templates are compared according to the rules that are used to match different templates. The experimental results show that NL-WAS can answer the most test questions correctly.

协作模型是CSCw系统的核心和基础。其目的是描述群体协作的方式、机制、管理、协调以及对协作过程的控制等。根据群体协同工作的方式、特点和需求，提出了基于交互、活动和协作三层结构的协作模型，并给出了交互、活动和协作的形式化定义，最后提出了一种采用“镜头焦点”和“自由交互”相结合的协作模型实现方法。本文提出的协作模型及其实现方法在分布式多媒体协同工作系统DMCS中得到实现。

超文本是一种非结构化的文档。它虽然不支持跨页查询和全文检索，但却是Internet上信息组织与存储的重要方式。提出了一种将超文本转换为结构化数据库的算法。分析了超文本结构化转换的需求，运用图论分析并描述了超文本的转换模型与实现算法。该算法在鲁迅数字图书馆系统中得到了实际应用和验证。

针对目前IP网实施QoS控制的主要难点问题，本文提出了基于分层结构的动态自适应QoS分布控制模型。本模型借鉴了DiffServ模型中基于端结点的分布控制思想，采用动态自适应的流控机制，这使得本模型不仅具有可扩展性，而且对网络的动态性与异构性具有适应能力。此外，本模型还采用分层结构将基于网络技术、视频编码技术以及FEC容错技术的QoS控制策略进行有机集成，在带宽受限的情况下能为媒体流传输提供较好的服务质量。本模型已成功地应用于多媒体同步实时授课系统RealClass中。

本文在简要分析多媒体远程教学需求的基础上，提出一种包括教师T、学生P、课件资源R、协作教学环境E和网上教学管理M等表示远程教学的五元组结构模式，进一步设计了基于IP网的支持教学现场直播和按需点播的多媒体远程教学系统，并在校园网上进行了同步实时授课以及按需点播的实验。

Live teaching is one of two basic e-Learning modes. In this paper, a novel interactive live teaching system named SkyClass based on the hybrid platform of satellite and ground 1P network is modeled, SkyClass uses receive-only satellite links for live lecture broadcasting, and ground network to realize outside interaction. Three key issues of SkyClass, live lecture fieM broadcasting over the hybrid of satellite and ground IP, large scale communications and management, live lecture field recording and stream courseware generating automatically, are discussed SkyClass has already been implemented and applied on the platform of ASIA-2R satellite and ChinaNet and CERNET (China Educational and Research Network) in the distance learning project of west area of China since Sept. 2003, it was proved that not only can SkyClass support large scale (more than 2500 remote sites) live lecture broadcasting and outside interaction, but also shows good extendibilitt, reliability, and easy o fuse.

This paper focuses on the automatic acquisition of semantic relationships from Chinese corpus, motivated by improving the performances of our QA systems named NL-WAS. Linguistic patterns designed for Chinese sentences are applied to a collection of texts to extract synonymy relationship, hyponymy relationship, and meronymy relationship. Patterns are broken down into unambiguous and ambiguous, and different strategies are adopted to refine the candidates extracted using this two kinds of patterns. Compared to other previous works, we apply not only strict unambiguous patterns but also loose unambiguous patterns to extract relationships and proposed efficient approach to refine the outputs of these patterns for the sake of high recall and high precision. The experimental result shows that the proposed method can delete most noisy pairs of terms and improve accuracy and efficiency of NL-WAS. At the same time, our method is complementary to statistically based approaches that find semantic relationships between terms.

A novel ID method based on Support Vector Machine (SVM) is proposed to solve the classification problem for the large amount of raw intrusion event dataset of the grid computing environment. A new radial basic function (RBF), based on heterogeneous value difference metric (HVDM) of heterogeneous datasets, is developed. Two different types of SVM, Supervised C_SVM and unsupervised One_Class SVM algorithms with kernel function, are applied to detect the anomaly network connection records. The experimental results of our method on the corpus of data collected by Lincoln Labs at MIT for an intrusion detection system evaluation sponsored by the U.S. Defense Advanced Research Projects Agency (DARPA) shows that the proposed method is feasible and effective.