From databases to dataspaces: A new abstraction for information management
From databases to dataspaces: A new abstraction for information management
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DOI：
10.1145/1107499.1107502
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发表时间：
2005-12-01
期刊：
影响因子：
1.1
通讯作者：
Maier, D
中科院分区：
文献类型：
--
作者：
Franklin, M;Halevy, A;Maier, D
关系数据库管理系统的发展在过去的几十年里一直是数据管理界关注的焦点，并取得了惊人的成果。然而，近年来，“无处不在的数据”的需求迅速扩大，导致了一个由有趣和富有成效的努力组成的折叠，但没有一个中心焦点或协调的议程。当今最严峻的信息管理挑战来自组织（例如，企业、政府机构、图书馆、“智能”家庭）依赖于大量不同的”相互关联的“数据源，但是没有办法以方便的、集成的或有原则的方式来管理它们的数据空间。本文提出数据空间及其支持系统作为数据管理的新议程。该议程涵盖了当今数据管理领域的大部分工作，同时提出了额外的研究目标。
The development of relational database management systems served to focus the data management community for decades, with spectacular results. In recent years, however, the rapidly-expanding demands of 'data everywhere" have led to a fold comprised of interesting and productive efforts, but without a central focus or coordinated agenda. The most acute information management challenges today stem from organizations (e.g., enterprises, government agencies, libraries, "smart" homes) relying on a large number of diverse" interrelated data sources, but having no way to manage their dataspaces in a convenient, integrated, or principled fashion. This paper proposes dataspaces and their support systems as a new agenda for data management. This agenda encompasses much of the work going on in data management today, while posing additional research objectives.