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Web Warehouse Construction Method for Aggregating On-line Spatio-temporal Information

聚合在线时空信息的网络仓库构建方法

基本信息

批准号：
16500048
负责人：
ISHIKAWA Yoshiharu
金额：
$ 2.3万
依托单位：
Nagoya University (2006)University of Tsukuba (2004-2005)
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2004
资助国家：
日本
起止时间：
2004 至 2006
项目状态：
已结题

项目摘要

The research results can be summarized as follows:1. Query processing and mining methods for moving object databases to analyze movement status: Vehicles equipped with GPS devices and walking people with mobile terminals are called moving objects. A database that stores and manages movement history data of a lot of moving objects is called a moving object database. First, we have developed an efficient query processing technique for a statistical query that requests the occurrence probability of the movement histories that obey the user specified movement pattern. Second, we have developed and evaluated a mobility histogram method that accumulates continuously delivered movement trajectory data and represents movement statistics in a compact manner.2. Document clustering method based on the notion of novelty: One of the features of the documents delivered on the Internet such as news articles is that the value of a document is the highest when it is obtained and decreases as time passe … More s. The document clustering technique proposed by ours has the feature that it weights high importance on novel documents to generate a clustering result. First, we have constructed the clustering system and performed evaluation based on it. Second, we have constructed a user interface system called T-Scroll on the clustering stem. T-Scroll visualizes each cluster set constructed at each time period and generates links between clusters of neighboring time periods then represents the overall trends of the evolving topics.3. Discovery of spatial information sources on the Web/Record extraction from a large document set that cooperates with databases: In recent years, research on searching and extracting useful information from large document sources such as the Web is quite active. In this work, first we have developed a method to discover pages and/or sites that are highly related to a specific region or area based on the link analysis technique. Second, we have developed a record extraction method from a large document set cooperating with existing databases. In this approach, the user selects records in databases using queries then the records are provided to the record extraction system as samples. The record extraction system performs selective record extraction based on the sample records and achieves efficient record extraction. Less

主要研究成果如下：1.移动对象数据库的查询处理和挖掘方法，以分析移动状态：装有GPS设备的车辆和带有移动的终端的步行者被称为移动对象。存储和管理许多移动对象的移动历史数据的数据库被称为移动对象数据库。首先，我们已经开发了一个有效的查询处理技术的统计查询，要求的运动历史，服从用户指定的运动模式的发生概率。其次，我们已经开发和评估了一种移动直方图方法，该方法累积连续传输的移动轨迹数据，并以紧凑的方式表示移动统计数据。基于新奇概念的文档聚类方法：新闻文章等互联网上发布的文档的特点之一是，文档的价值在获得时最高，随着时间的推移而降低 ...更多信息 S.我们提出的文档聚类技术的特点是，它的权重高的重要性，对新的文件，以产生一个聚类结果。首先，我们构建了聚类系统，并在此基础上进行了评价。其次，我们构建了一个名为T-Scroll的用户界面系统。T-Scroll将每个时间段构建的聚类集合可视化，并在相邻时间段的聚类之间生成链接，从而呈现主题演化的总体趋势. Web上的空间信息源的发现/从与数据库协作的大型文档集中提取记录：近年来，从Web等大型文档源中检索和提取有用信息的研究相当活跃。在这项工作中，首先，我们已经开发出一种方法来发现网页和/或网站是高度相关的特定区域或地区的基础上的链接分析技术。其次，我们已经开发了一个记录提取方法，从一个大的文档集与现有的数据库合作。在这种方法中，用户使用查询选择数据库中的记录，然后将记录作为样本提供给记录提取系统。记录抽取系统基于样本记录进行选择性记录抽取，实现高效的记录抽取。少