A Framework for Supporting Data Integration Using the Materialized and Virtual Approaches.
Richard Hull, Gang Zhou:
A Framework for Supporting Data Integration Using the Materialized and Virtual Approaches.
SIGMOD Conference 1996: 481-492@inproceedings{DBLP:conf/sigmod/HullZ96,
author = {Richard Hull and
Gang Zhou},
editor = {H. V. Jagadish and
Inderpal Singh Mumick},
title = {A Framework for Supporting Data Integration Using the Materialized
and Virtual Approaches},
booktitle = {Proceedings of the 1996 ACM SIGMOD International Conference on
Management of Data, Montreal, Quebec, Canada, June 4-6, 1996},
publisher = {ACM Press},
year = {1996},
pages = {481-492},
ee = {http://doi.acm.org/10.1145/233269.233365, db/conf/sigmod/HullZ96.html},
crossref = {DBLP:conf/sigmod/96},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
This paper presents a framework for data integration currently under
development in the Squirrel project. The framework is based on a special
class of mediators, called Squirrel integration mediators. These
mediators can support the traditional virtual and materialized approaches,
and also hybrids of them.
In the Squirrel mediators, a relation in the integrated view can be
supported as (a) fully materialized, (b) fully virtual, or (c) partially
materialzed (i.e., with some attributes materialized and other attributes
virtual). In general, (partially) materialized relations of the integrated
view are maintained by incremental updates from the source databases.
Squirrel mediators provide two approaches for doing this: (1) materialize
all needed auxiliary data, so that data sources do not have to be queried when
processing the incremental updates; or (2) leave some or all of the auxiliary
data virtual, and query selected source databases when processing incremental
updates.
The paper presents formal notions of consistency and "freshness" for
integrated views defined over multiple autonomous source databases.
It is shown that Squirrel mediators satisfy these properties.
Copyright © 1996 by the ACM,
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Printed Edition
H. V. Jagadish, Inderpal Singh Mumick (Eds.):
Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, Montreal, Quebec, Canada, June 4-6, 1996.
ACM Press 1996 ,
SIGMOD Record 25(2),
June 1996
Contents
[Index Terms]
[Full Text in PDF Format, 1352 KB]
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Copyright © Tue Mar 16 02:20:41 2010
by Michael Ley (ley@uni-trier.de)