Discovery of Semantic Structures and Access Control in Distributed Hypermedia

在本研究中，我们开发了一种新的高精度信息检索方法和一种动态访问方法，以更有效地传播分布式超媒体如万维网（WWW）的信息。我们重点研究了以下几个方面，并开发了必要的算法和原型来评估这些算法：(1)从Web数据中发现语义结构及其在分类和信息组织中的应用为了从Web页面中发现主题结构，我们开发了一种算法，分别通过术语外观密度分布和术语共现关系来发现主题术语和相关术语。基于这些算法，我们可以成功地发现Web页面之间的泛化和聚合关系。我们还开发了一个原型系统，在这个系统中，用户可以通过主题结构检索带有相关反馈的Web数据。(2)基于检索数据重构与同步的自动数据生成：提出了个性化和生成同步内容的新方法和原型。通过多次信息传递实验对该方法的有效性进行了评价。(3)基于用户浏览历史和偏好的Web数据动态访问控制我们开发了一种个性化Web页面的方法和原型，该方法使用基于规则的XML语言来表达Web作者的意图。(4)基于新鲜度和局部性的非传统Web信息过滤我们还开发了基于网页新鲜度和局部性发现的新的信息过滤方法

In this research, we developed new information retrieval methods with high precision and a dynamic access method for more effective information dissemination for distributed hypermedia such as World Wide Web (WWW). We especially focused on the following research topics, and developed necessary algorithms and prototypes for evaluating those algorithms :(1) Discovery of Semantic Structures from Web Data and Their use for Classification and Information OrganizationIn order to discover a topic structure from a Web page, we developed an algorithm to discover subject terms and related terms by the term appearance density distribution and the term co-occurrence relationships, respectively. Based on these algorithms, we could successfully discover the generalization and aggregation relationships among Web pages. We also developed a prototype system in which users can retrieve Web data with relevance feedback by their topic structures.(2) Automatic Data Generation Based on Restructuring and Synchronizing Retrieved DataWe developed a new way and a prototype for personalizing and generating synchronized contents. The effectiveness of the proposed method was evaluated through several information delivery Experiments.(3) Dynamic Access Control of Web Data by User Browsing Histories and PreferencesWe developed a method and a prototype for personalizing Web pages, which uses a rule-based XML language for representing Web author's intensions.(4) Non-traditional Web Information Filtering Based on the Freshness and the LocalnessWe also developed new information filtering methods based on discovery of the freshness and the Localness of Web pages