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Realizing a Browsing-based Portal for Enhancing Browsability and Retrievability of Shared Data of a Complex Organization

实现基于浏览的门户以增强复杂组织共享数据的可浏览性和可检索性

基本信息

批准号：
18500089
负责人：
NAKASHIMA Makoto
金额：
$ 0.82万
依托单位：
Oita University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2006
资助国家：
日本
起止时间：
2006 至 2007
项目状态：
已结题

项目摘要

A technique for collecting shared data stored at low' cost on a complex organization, e.g., a company, a local government and a university, consists of several divisions is proposed to construct a novel web portal satisfying high browsability and retrievability. Usually, the shared data is collected from data producers by encouraging them to use a common format for a data management system. However, the burden of preparing the data in the common format causes the fail of collecting enough shared data. To tackle this problem, we have formulated a method for collecting the shared data automatically from raw data produced in a daily work at the organization. The collecting system involving the method is realized for the shared data existing in minutes of meeting in Oita University. The method automatically extracts the shared data for referring information about the meeting, i.e., names, date and time, meeting place, attendees, and absentees. The system allows a user in charge of writing the minute to just pass it to the system for providing shared data. The shared data extraction is done by using decision trees for judging whether each line of the minute includes the data for each of items. Attributes for describing any line are settled for each item. We have also designed interface components for facilitating checks and corrections of the extracted shared data by the user. The method showed high precision in the shared data extraction in the experiment using the minutes of past meetings of the university. The usability of the interface component was also verified in a user study we conducted. The component was shown to be less burdensome for the users in confirming the extracted shared data.

提出了一种收集由多个部门组成的复杂组织（如公司、地方政府和大学）低成本存储的共享数据的技术，以构建满足高可浏览性和可检索性的新型门户网站。通常，通过鼓励数据生产者使用数据管理系统的通用格式，从数据生产者那里收集共享数据。但是，以公共格式准备数据的负担导致无法收集足够的共享数据。为了解决这个问题，我们制定了一种方法，从组织日常工作中产生的原始数据中自动收集共享数据。针对大分大学会议记录中存在的共享数据，实现了采用该方法的采集系统。该方法自动提取共享数据以引用会议信息，例如名称、日期和时间、会议地点、与会者和缺席者。该系统允许负责编写分钟的用户将其传递给系统以提供共享数据。共享数据的提取是通过使用决策树来判断会议记录的每行是否包含每个项目的数据来完成的。描述任何一行的属性为每个项目设置。我们还设计了接口组件，方便用户对提取的共享数据进行检查和更正。在利用校际会议记录的实验中，该方法对共享数据的提取具有较高的精度。界面组件的可用性也在我们进行的用户研究中得到验证。在确认提取的共享数据时，该组件为用户减少了负担。