Studies on Design and Development of Web Data Warehouse

Web数据仓库的设计与开发研究

• 批准号: 13480103
• 负责人: KAMBAYASHI Yahiko
• 金额: $ 10.3万
• 依托单位: KYOTO UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2001
• 资助国家: 日本
• 起止时间: 2001 至 2002
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-13480103/
• 关键词: Web Cache; Information Filtering; Data Warehouse; Caching Algorithm; Contents Management; Geographic Information Systems; Web Search; Mobile Terminal; データベース; 地域情報; WWW; キャッシュ; セマンティクス

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.

由于万维网的迅速扩展，有必要开发一种有效的方法来检索和处理Web内容。用于此目的的两种众所周知的方法是Web缓存和信息过滤。前者提高了检索数据的可重用性，而后者则限制了对有价值数据的检索。本文将这两种方法进行了改进，并将其合并为一个系统，称为“Web仓库”;在改进Web缓存算法方面，提出了一种新的模型--虚拟多层内容缓存（Virtual Multi-Layered Contents Cache），采用分类规则和分层内容管理模型。仿真实验表明，该模型的实现LRU-SP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关键字语义的Web内容智能缓存方法，即“基于内容语义的智能缓存方法”。该方法被实现为LRU-SP+。该研究还包括将Web缓存数据修改为数据库，分析给定数据的特性，以及Web数据仓库的动态层次结构，该结果在一个会议上发表，该会议限制了真正创造性的结果（在会议的28个演讲中，只有一个来自亚洲），并因其独特性而受到广泛关注。为了改进信息过滤，使用Web内容的局部性属性。与地理信息系统（GIS），自然语言处理和超链接分析的统一，使网络内容的限制，以本地的。该方法提高了局部信息搜索的效率。虽然Web最初是作为一个全球信息系统构建的，但通过我们的系统，它也被联合起来用于本地信息搜索。这种方法也得到了全世界的关注，韩国正在开发采用相同方法的系统。

项目成果

Y. Kambayashi: "Information Management and Processing"Iwanami Shoten. 183p (2002)

Y. Kambayashi：“信息管理和处理”岩波书店。

Y.Inoue: "Web Locality Based Ranking Utilizing Location Names and Link Structure"Second International Workshop on Web and Wireless Geographical Information Systems (W2GIS 2002).

Y.Inoue：“利用位置名称和链接结构进行基于 Web 位置的排名”第二届 Web 和无线地理信息系统国际研讨会 (W2GIS 2002)。

T. Tezuka, R. Lee, H. Takakura and Y. Kambayashi: "Models for Conceptual Geographical Prepositions Based on Web Resources"Journal of Geographical Information and Decision Analysis (JGIDA). Vol.5, No.2. (2002)

T. Tezuka、R. Lee、H. Takakura 和 Y. Kambayashi：“基于网络资源的概念地理介词模型”地理信息与决策分析杂志 (JGIDA)。

Y.Kambayashi: "Capacity Bound-free Web Warehouse"First Biennial Conference on Innovative Data Systems Research (CIDR 2003). (2003)

Y.Kambayashi：“Capacity Bound-free Web Warehouse”首届创新数据系统研究双年度会议 (CIDR 2003)。

T.Tezuka: "Extraction of Geographical Neighborhood from Web Resources"World Wide Web -Internet and Web Information Systems (Kluwer Academic Publishers). Vol.5. (2002)

T.Tezuka：“从网络资源中提取地理邻域”万维网 - 互联网和网络信息系统（Kluwer 学术出版社）。