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

研究成果可概括如下： 1．运动对象数据库的查询处理和挖掘方法，以分析运动状态：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数据库，用于存储和管理运动历史数据。首先，我们开发了一种用于统计查询的高效查询处理技术，该技术要求遵循用户指定的运动模式的运动历史的发生概率。评估了连续累积交付的移动性直方图方法2．基于新颖性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，当文档的价值最高时，文档的价值最高。我们提出的文档聚类技术的特点是对新文档的重要性较高，以生成聚类结果。首先，我们构建了聚类系统并在此基础上进行了评估。 .二、我们构建了一个用户聚类主干上称为T-Scroll的界面系统可视化每个时间段构建的每个聚类集，并生成相邻时间段聚类之间的链接，从而表示主题演变的总体趋势。 3．从与数据库配合的大型文档集中进行Web/记录提取：近年来，从Web等大型文档源中搜索和提取有用信息的研究相当活跃。在这项工作中，我们首先开发了一种发现方法。页面和/或网站其次，我们开发了一种基于链接分析技术的与特定区域或区域高度相关的记录提取方法，在这种方法中，用户使用查询来选择数据库中的记录，然后将这些记录提取出来。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记录提取，实现高效的记录提取。

项目成果

期刊论文数量（175）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

移動軌跡ストリームデータのためのインクリメンタルなヒストグラムの管理手法

运动轨迹流数据增量直方图管理方法

DOI：
发表时间：
2005
期刊：
電子情報通信学会技術研究報告 105-172
影响因子：
0
作者：
井ノ口馨;斎藤喜人;Yousuke Watanabe;Akiyoshi Nakamizo;Jianwei Zhang;Masafumi Hamamoto;山田真一;Sophoin KHY;町田陽二
通讯作者：
町田陽二

移動軌跡ストリームデータのためのインクリメンタルなヒストグラム管理手法

运动轨迹流数据增量直方图管理方法