Temporal Modules: An Approach Toward Federated Temporal Databases.
Xiaoyang Sean Wang, Sushil Jajodia, V. S. Subrahmanian:
Temporal Modules: An Approach Toward Federated Temporal Databases.
SIGMOD Conference 1993: 227-236@inproceedings{DBLP:conf/sigmod/WangJS93,
author = {Xiaoyang Sean Wang and
Sushil Jajodia and
V. S. Subrahmanian},
editor = {Peter Buneman and
Sushil Jajodia},
title = {Temporal Modules: An Approach Toward Federated Temporal Databases},
booktitle = {Proceedings of the 1993 ACM SIGMOD International Conference on
Management of Data, Washington, D.C., May 26-28, 1993},
publisher = {ACM Press},
year = {1993},
pages = {227-236},
ee = {http://doi.acm.org/10.1145/170035.170074, db/conf/sigmod/WangJS93.html},
crossref = {DBLP:conf/sigmod/93},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
In a federated database environment, different constituents
of the federation may use different temporal models or
physical representations for temporal information. This
paper introduces a new concept, called a temporal module,
to resolve these differences, or mismatches, among the
constituents. Intuitively, a temporal module hides the
implementation details of a temporal relation by exposing
its information only through two windowing functions: The
first function associates each time point with a set of tuples
and the second function links each tuple to a set of time
points. A caIculus-style language is given to form queries on
temporal modules.
Temporal modules are then extended to resolve another
type of mismatch among the constituents of a federation,
namely, the mismatch involving different time units (e.g.,
month, week and day) used to record temporsd information.
Our solution relies on "information conversions" provided
by each constituent. Specifically, each temporal module is
extended to provide several "windows" to its information,
each in terms of a different time unit. The first step to
process a query addressed to the federation is to select
suitable windows to the underlying temporal modules. In
order to facilitate such a process, time units are formally
defined and studied. A federated temporal database model
and its query language are proposed. The query language is
an extension of the above calculus-style language.
Copyright © 1993 by the ACM,
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Printed Edition
Peter Buneman, Sushil Jajodia (Eds.):
Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Washington, D.C., May 26-28, 1993.
ACM Press 1993 ,
SIGMOD Record 22(2),
June 1993
Contents
[Index Terms]
[Full Text in PDF Format, 1018 KB]
References
- [All83]
- James F. Allen:
Maintaining Knowledge about Temporal Intervals.
Commun. ACM 26(11): 832-843(1983)
- [And82]
- T. Lougenia Anderson:
Modeling Time at the Conceptual Level.
JCDKB 1982: 273-297
- [CC88]
- James Clifford, Albert Croker:
Objects in Time.
IEEE Data Eng. Bull. 11(4): 11-18(1988)
- [Cli82]
- ...
- [CR87]
- ...
- [CT85]
- James Clifford, Abdullah Uz Tansel:
On An Algebra For Historical Relational Databases: Two Views.
SIGMOD Conference 1985: 247-265
- [Gab87]
- ...
- [Gad88]
- Shashi K. Gadia:
A Homogeneous Relational Model and Query Languages for Temporal Databases.
ACM Trans. Database Syst. 13(4): 418-448(1988)
- [GV85]
- Shashi K. Gadia, Jay H. Vaishnav:
A Query Language for a Homogeneous Temporal Database.
PODS 1985: 51-56
- [KRS90]
- Wolfgang Käfer, Norbert Ritter, Harald Schöning:
Support for Temporal Data by Complex Objects.
VLDB 1990: 24-35
- [MS87]
- ...
- [NA89]
- ...
- [SA85]
- Richard T. Snodgrass, Ilsoo Ahn:
A Taxonomy of Time in Databases.
SIGMOD Conference 1985: 236-246
- [Sno84]
- Richard T. Snodgrass:
The Temporal Query Language TQuel.
PODS 1984: 204-213
- [SS87]
- Arie Segev, Arie Shoshani:
Logical Modeling of Temporal Data.
SIGMOD Conference 1987: 454-466
- [Tan93]
- Abdullah Uz Tansel, James Clifford, Shashi K. Gadia, Sushil Jajodia, Arie Segev, Richard T. Snodgrass (Eds.):
Temporal Databases: Theory, Design, and Implementation.
Benjamin/Cummings 1993, ISBN 0-8053-2413-5
Contents - [Ull88]
- Jeffrey D. Ullman:
Principles of Database and Knowledge-Base Systems, Volume I.
Computer Science Press 1988, ISBN 0-7167-8158-1
Contents - [Ull89]
- Jeffrey D. Ullman:
Principles of Database and Knowledge-Base Systems, Volume II.
Computer Science Press 1989, ISBN 0-7167-8162-X
Contents - [WJL91]
- Gio Wiederhold, Sushil Jajodia, Witold Litwin:
Dealing with Granularity of Time in Temporal Databases.
CAiSE 1991: 124-140
- [WJL93]
- ...
Copyright © Sun Mar 14 23:25:41 2010
by Michael Ley (ley@uni-trier.de)