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

研究结果总结如下：1。用于分析运动状态的运动对象数据库的查询处理和挖掘方法：装有GPS设备的车辆和带有移动终端的行走人员称为运动对象。存储和管理大量运动对象的运动历史数据的数据库称为运动对象数据库。首先，我们为统计查询开发了一种高效的查询处理技术，该查询请求服从用户指定的运动模式的运动历史的发生概率。其次，我们开发并评估了一种移动直方图方法，该方法可以累积连续传递的运动轨迹数据，并以紧凑的方式表示运动统计。基于新颖性概念的文档聚类方法：在互联网上传递的文档（如新闻文章）的一个特征是，文档的价值在获取时最高，随着时间的推移而降低。本文提出的文档聚类技术具有对文档的新颖性给予高度重视来生成聚类结果的特点。首先，我们构建了聚类系统，并在此基础上进行了评价。其次，我们在聚类系统上构建了一个名为T-Scroll的用户界面系统。T-Scroll将每个时间段构建的每个聚类集可视化，并在相邻时间段的聚类之间生成链接，然后表示不断发展的主题的总体趋势。在Web上发现空间信息源/从与数据库协作的大型文档集中提取记录：近年来，从Web等大型文档源中搜索和提取有用信息的研究非常活跃。在这项工作中，我们首先开发了一种基于链接分析技术来发现与特定区域或区域高度相关的页面和/或网站的方法。其次，我们开发了一种与现有数据库协作的大型文档集的记录提取方法。在这种方法中，用户使用查询从数据库中选择记录，然后将记录作为样本提供给记录提取系统。记录提取系统根据样本记录进行选择性的记录提取，实现高效的记录提取。少

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