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.
%0 Journal Article
%1 1107502
%A Franklin, Michael
%A Halevy, Alon
%A Maier, David
%C New York, NY, USA
%D 2005
%I ACM
%J SIGMOD Rec.
%K data_management data_quality database information_retrieval semistructured
%N 4
%P 27--33
%R http://doi.acm.org/10.1145/1107499.1107502
%T From databases to dataspaces: a new abstraction for information management
%U http://portal.acm.org/citation.cfm?id=1107502
%V 34
%X 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.
@article{1107502,
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.},
added-at = {2007-12-06T04:19:51.000+0100},
address = {New York, NY, USA},
author = {Franklin, Michael and Halevy, Alon and Maier, David},
biburl = {https://www.bibsonomy.org/bibtex/2da9648f4325bab61693a148a72728ae1/jhammerb},
description = {From databases to dataspaces},
doi = {http://doi.acm.org/10.1145/1107499.1107502},
interhash = {aa3494dfcc3addb84186df08dc2d8dd6},
intrahash = {da9648f4325bab61693a148a72728ae1},
issn = {0163-5808},
journal = {SIGMOD Rec.},
keywords = {data_management data_quality database information_retrieval semistructured},
number = 4,
pages = {27--33},
publisher = {ACM},
timestamp = {2007-12-06T04:19:51.000+0100},
title = {From databases to dataspaces: a new abstraction for information management},
url = {http://portal.acm.org/citation.cfm?id=1107502},
volume = 34,
year = 2005
}