%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 }