From databases to dataspaces: a new abstraction for information management
ACM Sigmod Record, 2005•dl.acm.org
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 (eg, enterprises,
government agencies, libraries," smart" homes) relying on a large number of diverse …
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 (eg, enterprises,
government agencies, libraries," smart" homes) relying on a large number of diverse …
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.
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