Data integration systems offer a uniform interface to a set of data sources. Despite recent progress, setting up and maintaining a data integration application still requires significant upfront effort of creating a mediated schema and semantic mappings from the data sources to the mediated schema. Many application contexts involving multiple data sources (e.g., the web, personal information management, enterprise intranets) do not require full integration in order to provide useful services, motivating a pay-as-you-go approach to integration. With that approach, a system starts with very few (or inaccurate) semantic mappings and these mappings are improved over time as deemed necessary.
%0 Conference Paper
%1 Sarma2008
%A Sarma, Anish D.
%A Dong, Xin
%A Halevy, Alon
%B SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data
%C New York, NY, USA
%D 2008
%I ACM
%K data dataspace integration matching phd schema
%P 861--874
%R http://dx.doi.org/10.1145/1376616.1376702
%T Bootstrapping pay-as-you-go data integration systems
%U http://dx.doi.org/10.1145/1376616.1376702
%X Data integration systems offer a uniform interface to a set of data sources. Despite recent progress, setting up and maintaining a data integration application still requires significant upfront effort of creating a mediated schema and semantic mappings from the data sources to the mediated schema. Many application contexts involving multiple data sources (e.g., the web, personal information management, enterprise intranets) do not require full integration in order to provide useful services, motivating a pay-as-you-go approach to integration. With that approach, a system starts with very few (or inaccurate) semantic mappings and these mappings are improved over time as deemed necessary.
%@ 978-1-60558-102-6
@inproceedings{Sarma2008,
abstract = {Data integration systems offer a uniform interface to a set of data sources. Despite recent progress, setting up and maintaining a data integration application still requires significant upfront effort of creating a mediated schema and semantic mappings from the data sources to the mediated schema. Many application contexts involving multiple data sources (e.g., the web, personal information management, enterprise intranets) do not require full integration in order to provide useful services, motivating a pay-as-you-go approach to integration. With that approach, a system starts with very few (or inaccurate) semantic mappings and these mappings are improved over time as deemed necessary.},
added-at = {2009-03-12T15:42:50.000+0100},
address = {New York, NY, USA},
author = {Sarma, Anish D. and Dong, Xin and Halevy, Alon},
biburl = {https://www.bibsonomy.org/bibtex/20abcb90eb074bffdaa2c2427277065cd/lillejul},
booktitle = {SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data},
citeulike-article-id = {3271608},
doi = {http://dx.doi.org/10.1145/1376616.1376702},
interhash = {40b40b177db7ba572ea65082e8b51e4e},
intrahash = {0abcb90eb074bffdaa2c2427277065cd},
isbn = {978-1-60558-102-6},
keywords = {data dataspace integration matching phd schema},
location = {Vancouver, Canada},
pages = {861--874},
posted-at = {2008-09-16 08:47:04},
priority = {2},
publisher = {ACM},
timestamp = {2009-03-12T15:42:51.000+0100},
title = {Bootstrapping pay-as-you-go data integration systems},
url = {http://dx.doi.org/10.1145/1376616.1376702},
year = 2008
}