Dataspace systems offer services on data without requiring upfront semantic integration. In sharp contrast with existing information-integration systems, dataspaces systems offer best-effort answers even before semantic mappings are provided to the system. Dataspaces offer a <i>pay-as-you-go</i> approach to data management. Users (or administrators) of the system decide where and when it is worthwhile to invest more effort in identifying semantic relationships. As such, dataspaces offer services on the data <i>in place</i>, without losing the context surrounding the data.
%0 Journal Article
%1 Franklin:2008:FTD:1454159.1454217
%A Franklin, Michael
%A Halevy, Alon
%A Maier, David
%D 2008
%I VLDB Endowment
%J Proc. VLDB Endow.
%K dataspaces information_integration tutorial
%N 2
%P 1516--1517
%R 10.1145/1454159.1454217
%T A first tutorial on dataspaces
%U https://dl.acm.org/citation.cfm?id=1454217
%V 1
%X Dataspace systems offer services on data without requiring upfront semantic integration. In sharp contrast with existing information-integration systems, dataspaces systems offer best-effort answers even before semantic mappings are provided to the system. Dataspaces offer a <i>pay-as-you-go</i> approach to data management. Users (or administrators) of the system decide where and when it is worthwhile to invest more effort in identifying semantic relationships. As such, dataspaces offer services on the data <i>in place</i>, without losing the context surrounding the data.
@article{Franklin:2008:FTD:1454159.1454217,
abstract = {Dataspace systems offer services on data without requiring upfront semantic integration. In sharp contrast with existing information-integration systems, dataspaces systems offer best-effort answers even before semantic mappings are provided to the system. Dataspaces offer a <i>pay-as-you-go</i> approach to data management. Users (or administrators) of the system decide where and when it is worthwhile to invest more effort in identifying semantic relationships. As such, dataspaces offer services on the data <i>in place</i>, without losing the context surrounding the data.},
acmid = {1454217},
added-at = {2012-09-17T19:12:27.000+0200},
author = {Franklin, Michael and Halevy, Alon and Maier, David},
biburl = {https://www.bibsonomy.org/bibtex/20f64b8e41ff71682579c31fce1884798/b.bruns},
description = {A first tutorial on dataspaces},
doi = {10.1145/1454159.1454217},
interhash = {5d8f396973e93b0625c46c099dbc9666},
intrahash = {0f64b8e41ff71682579c31fce1884798},
issn = {2150-8097},
issue_date = {August 2008},
journal = {Proc. VLDB Endow.},
keywords = {dataspaces information_integration tutorial},
month = {August},
number = 2,
numpages = {2},
pages = {1516--1517},
publisher = {VLDB Endowment},
timestamp = {2012-09-17T19:12:27.000+0200},
title = {A first tutorial on dataspaces},
url = {https://dl.acm.org/citation.cfm?id=1454217},
volume = 1,
year = 2008
}