个人数据提取工具

Daniela Vianna, A. Yong, Chaolun Xia, A. Marian, Thu D. Nguyen
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引用次数: 13

摘要

数字存储现在充当了全球用户记忆的存档,保存了数据以及获取数据的背景。海量的可用数据以及分散在许多服务(如Facebook)和设备(如笔记本电脑)上的事实,使得用户很难找到他们记得存储或访问过的特定信息片段。将这些碎片化的数据统一到一个包含上下文信息的单一数据集中,可以更好地对个人信息进行索引和搜索。因此,我们开发了一个个人数据提取工具,作为实现这一愿景的第一步。在本文中,我们介绍了这个提取工具,以及该工具为几个用户收集的个人数据的一些初步统计数据。数据分析的目的是让人们一窥一个人的数字生活可能是什么样子,以及它目前是如何在许多不同的服务中划分的;此外,它还加强了这样一个事实,即如果没有个性化信息管理工具的支持,用户不可能手动检索、存储和访问其广泛的数字数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A tool for personal data extraction
Digital storage now acts as an archive of the memories of users worldwide, keeping record of data as well as the context in which the data was acquired. The massive amount of data available and the fact that it is fragmented across many services (e.g., Facebook) and devices (e.g., laptop) make it very difficult for users to find specific pieces of information that they remember having stored or accessed. Unifying this fragmented data into a single data set that includes contextual information would allow for much better indexing and searching of personal information. Thus, we have developed a personal data extraction tool as a first step toward this vision. In this paper, we present this extraction tool, along with some preliminary statistics about personal data gathered by the tool for several users. The goal of the data analysis is to give a glimpse of what the digital life of a person may look like, and how it is currently partitioned across many different services; moreover, it reinforces the fact that it is not possible for users to manually retrieve, store and access their extensive digital data without the support of a personalized information management tool.
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