Studies on Design and Development of Web Data Warehouse

由于万维网的迅速扩张，有必要开发一种高效的检索和处理Web内容的方法。用于此目的的两种众所周知的方法是网络高速缓存和信息过滤。前者增强了检索数据的可重用性，而后者将检索数据限制为有价值的数据。在改进Web缓存算法的过程中，提出了一种基于分类规则和分层内容管理模型的虚拟多层内容缓存模型。仿真实验证明，LRU-SP模型的实现与传统系统相比具有更高的整体效率。同时，提出了一种基于超文本结构和基于关键字语义的Web内容缓存方法--基于内容语义的智能缓存方法。该方法被实现为LRU-SP+。研究还包括将Web缓存数据修改为数据库，分析给定数据的特征，以及Web数据仓库的动态分层结构，结果在一个会议上公布，该会议限制了演讲的真正创造性成果(在会议的28个演讲中，只有1个来自亚洲)，并因其独特性而受到广泛关注。为了改进信息过滤，利用了网页内容的局部性。与地理信息系统(地理信息系统)、自然语言处理和超链接分析的统一使网络内容能够限制在本地内容。该方法提高了局部信息搜索的效率。虽然万维网最初是作为一个全球信息系统构建的，但有了我们的系统，它也可以联合起来进行局部信息搜索。这种方法也得到了全世界的关注，韩国正在开发具有相同方法的系统。

Due to the rapid expansion of the World Wide Web, it is necessary to develop efficient way of retrieving and processing web contents. Two well-known methods serving for this purpose are web caching and information filtering. The former enhances reusability of retrieved data, while the latter limits retrieval of data to worthwhile ones. In this research, two methods were modified and then united into a single system, under the name of "Web Warehouse".In improving web cache algorithms, a new model named Virtual Multi-Layered Contents Cache was developed, using classification rules and hierarchical contents management model. The implementation of this model, LRU-SP, was proved to have higher overall efficiency compared to conventional systems in simulation experiment. At the same time, a method using hypertext structure and keyword-based semantics of web contents, named "Intelligent Caching Method using Contents Semantics". This method was implemented as LRU-SP+. The research also contained modification of web cache data as databases, analysis on characteristics of the given data, and dynamic hierarchical structure of web data warehouse, The result was presented in a conference that limits presentations to truly inventive results, (out of 28 presentations in the conference, there was only 1 from Asia,) and has received wide attention for its uniqueness. For improvement on information filtering, locality properties of web contents were used. Unification with Geographic Information Systems (GIS), natural language processing, and hyperlink analysis has enabled restriction of web contents to local ones. This method has improved efficiency in local information search. Although the Web is originally constructed as a global information system, with our system it is also united for a local information search. This method has also gained worldwide attention, and systems with same method are now under development in Korea.