Information Filtering Using User's Context on Browsing in Hypertext

Browsing is one of the most popular ways to gather information in database with hypertext structure. In order to support a user to browse, modeling of the user's interests is one of the most important issues. Although there are several promising methods to infer the interests from the user's browsing behavior, they assume that the interests are consistent during the browsing. However, the user's interests are often strongly dependent on the local context of the browsing. This paper describes a method to model the user's shifting interests from the browsing history. An information filtering method using the model of the interests has been implemented. We call it ‘context-sensitive filtering’. The results of an experimental evaluation, by real users' browsing for an encyclopedia in CD-ROM format, are also reported. This revised version was published online in July 2006 with corrections to the Cover Date.     

超文本中的迷路问题

迷路问题是用户在超文梧导航时面临的最大难题，本文分析了用户迷路的根本原因，阐述了当前解决迷路问题的主要方法，指出超文本的结构化，搜索／查询机制的使用和知识的利用是解决迷路问题的关键。     

通用型超文本CAI系统设计与开发

本文就目前ＣＡＩ系统中存在的问题进行了讨论,提出了通用型超ＣＡＩ的设计思想,并简要地介绍了我们规划的制作的具体一定通用性的超文本ＣＡＩ系统。     

Hypertext Writing Profiles and Visualisation

University students increasingly use hypertextto write their assignments. To employ hypertexteffectively, more information about thehypertext authoring process is needed. Thereare features of hypertext which are notreflected in traditional theories ofcomposition, especially the possibility tostructure information visually. Our studyindicates that graphical overview maps whichcan be edited are a rather attractive featureof hypertext authoring systems. Nevertheless,not all students profit from such features.Students employ different writing styles whenthey create hypertext documents. The majorityof students experiments with hypertext's newfeatures but others are still influenced by themodel of the book.     

XML-Based Hypertext Functionalities for Software Engineering

Hypertext functionalities represent a form of the distilled wisdom of the hypermedia community. Even if they were introduced and advocated already in the pre-Web era, most of these functionalities are absent in current Web browsers. However, such functionalities can be very useful in some specific applicative fields, like for instance browsing complex software engineering documents, using standard WWW components. We propose to exploit the advent of XML as a basic infrastructure for describing software engineering hypertexts. In fact, we describe XMLC, a prototype of an XML browser that, given its modular architecture and general scope, can be seen as the basis for implementing sophisticated hypertext functionalities for software engineering documentation to be maintained and browsed on the Web.     

一个超文本CASE原型的设计与实现

本文叙述了一个基于面向对象程序设计语言Ｃ＋＋的超文本ＣＡＳＥ系统的设计与实现过程，并对共内部结构、结点类型说明和应用环境做了详细介绍。     

BHOO──基于超文本的面向对象多媒体数据模型

建立多媒体数据模型首先应从多媒体数据的特点出发,把多媒体信息中的各种复杂关系以形式化的方式在数据模型的层次上表现出来。本文针对多媒体数据的特点和要求,分析了理想的多媒体数据模型的模式,依此探讨了基于超文本的面向对象（ＢＨＯＯ）多媒体数据模型以及多媒体数据的存储与组织结构。     

超文本结构化转换算法的研究与实现

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.     

The Evaluation of a Personalised Health Information System for Patients with Cancer

In this paper we describe the evaluation of a personalised information system for patients with cancer. Our system dynamically generates hypertext pages that explain treatments, diseases, measurements etc related to the patient's condition, using information in the patient's medical record as the basis for the tailoring. We describe results of a controlled trial comparing this system with a nonpersonalised one. The results of the trial slow significant results concerning the patients' preferences for personalised information. We discuss the implications of our evaluation and results for the development and evaluation of future personalised systems, and adaptive hypertext systems in particular.     

A Study of Approaches to Hypertext Categorization

Hypertext poses new research challenges for text classification. Hyperlinks, HTML tags, category labels distributed over linked documents, and meta data extracted from related Web sites all provide rich information for classifying hypertext documents. How to appropriately represent that information and automatically learn statistical patterns for solving hypertext classification problems is an open question. This paper seeks a principled approach to providing the answers. Specifically, we define five hypertext regularities which may (or may not) hold in a particular application domain, and whose presence (or absence) may significantly influence the optimal design of a classifier. Using three hypertext datasets and three well-known learning algorithms (Naive Bayes, Nearest Neighbor, and First Order Inductive Learner), we examine these regularities in different domains, and compare alternative ways to exploit them. Our results show that the identification of hypertext regularities in the data and the selection of appropriate representations for hypertext in particular domains are crucial, but seldom obvious, in real-world problems. We find that adding the words in the linked neighborhood to the page having those links (both inlinks and outlinks) were helpful for all our classifiers on one data set, but more harmful than helpful for two out of the three classifiers on the remaining datasets. We also observed that extracting meta data from related Web sites was extremely useful for improving classification accuracy in some of those domains. Finally, the relative performance of the classifiers being tested provided insights into their strengths and limitations for solving classification problems involving diverse and often noisy Web pages.     

Too1Book环境下自动超文本技术的实现

介绍了在ＴｏｏｌＢｏｏｋ环境下自动超文本技术的实现方法,就几个关键的问题进行了详细的讨论。     

User modelling for adaptive computer systems: a survey of recent developments

User modelling is becoming an important sub-area of Artificial Intelligence with both theoretical and practical consequences. The theoretical foundations of user modelling are to be found in key areas of AI, such as knowledge representation and plan recognition, while its practical applications impinge on the construction of intelligent user interfaces and adaptive systems. This paper provides a survey of current work in user modelling. The paper begins by distinguishing between AI approaches, which are the subject of this survey, and those of HCI (Human-Computer Interaction) and then considers the major issues in user modelling such as: types of user modelling system, the sorts of information modelled, how the information is acquired, represented and used. The paper concludes by examining some of the more problematic aspects of user modelling as well as indicating areas for future research.     

超文本形式化模型研究

本文谰述了目前超文本系统中常用的形式化模型，它们分别基于图论，网论，逻辑和集论。     

基于潜在链接分析的FTSVM网页分类

回顾,模糊直推式模糊支持向量机（FTSVM）的不足,并提出了一种基于潜在链接分析并结合网页权重信息的FTSVM网页分类方法。新方法提高了分析网页超链接信息的效率,避免了经验参数的影响,充分考虑了网页权重的贡献。试验表明,提出的方法在网页基准测试数据上取得了优于FTSVM的分类效果。     

即时符号——超文本和即时会话中使用的象形表意符号

通过对即时符号(原文)的技术性知识和历史性知识进行研究,为艺术设计学科相关的创作提供适度的理论参考。在首次给出即时符号、私人即时符号、共用即时符号概念的基础上展开论述。剖析它与网络语言的关系、基本特征、私人性至集体性转变等技术性知识。同时,即时符号作为人们用于沟通的非文字符号,通过论述进一步纵向的剖析,揭示它的历史来源、创作实例和未来新的可能性。     

Automatically producing tailored web materials for public administration

Public administration organizations commonly produce citizen-focused, informational materials describing public programs and the conditions under which citizens or citizen groups are eligible for these programs. The organizations write these materials for generic audiences because of the excessive human resource costs that would be required to produce personalized materials for everyone. Unfortunately, generic materials tend to be longer and harder to understand than materials tailored for particular citizens. Our work explores the feasibility and effectiveness of automatically producing tailored materials. We have developed an adaptive hypermedia application system that automatically produces tailored informational materials and have evaluated it in a series of studies. The studies demonstrate that: (1) subjects prefer tailored materials over generic materials, even if the tailoring requires answering a set of demographic questions first; (2) tailored materials are more effective at supporting subjects in their task of learning about public programs; and (3) the time required to specify the demographic information on which the tailoring is based does not significantly slow down the subjects in their information seeking task.     

Adaptive Hypermedia

Adaptive hypermedia is a relatively new direction of research on the crossroads of hypermedia and user modeling. Adaptive hypermedia systems build a model of the goals, preferences and knowledge of each individual user, and use this model throughout the interaction with the user, in order to adapt to the needs of that user. The goal of this paper is to present the state of the art in adaptive hypermedia at the eve of the year 2000, and to highlight some prospects for the future. This paper attempts to serve both the newcomers and the experts in the area of adaptive hypermedia by building on an earlier comprehensive review (Brusilovsky, 1996; Brusilovsky, 1998).