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From databases to dataspaces: a new abstraction for information management
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Source ACM SIGMOD Record archive
Volume 34 ,  Issue 4  (December 2005) table of contents
Pages: 27 - 33  
Year of Publication: 2005
ISSN:0163-5808
Authors
Michael Franklin  University of California, Berkeley
Alon Halevy  U. Washington
David Maier  Portland State University
Publisher
ACM  New York, NY, USA
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ABSTRACT

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 field 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.



CITED BY  32

Collaborative Colleagues:
Michael Franklin: colleagues
Alon Halevy: colleagues
David Maier: colleagues