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Title: TOODM: A temporal object-oriented data model with temporal constraints

Abstract

A static Entity-Relationship (ER) or static Extended ER (EER) data model is not sufficient for representing the underlying time component of the data, more complex data types as found in planning, design and office automation applications or the operation required for this complex data. The decreasing cost of mass storage devices accompanied by an increased need for real-time systems and easier access to historical and planning data has made the study of the temporal aspects of data models more interesting both theoretically and practically. Furthermore, the ER-based data models can capture relationships between classes but they do not understand the object-oriented paradigm since they treat application-specific relationships and paradigm-specific relationships such as inheritance in the same manner. This shortcoming accompanied by a lack of support for the time dimension results in the specification of temporal relationships and constraints at the application level and often leads to inconsistencies in the data. In this paper, we extend the object-based ER model into a temporal, object-oriented model, incorporate temporal structures and constraints in the data model and propose a temporal, object-oriented query language for the model.

Authors:
;
Publication Date:
Research Org.:
Lawrence Berkeley Lab., CA (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
10113805
Report Number(s):
LBL-30678; CONF-9110316-1
ON: DE92005281
DOE Contract Number:  
AC03-76SF00098
Resource Type:
Conference
Resource Relation:
Conference: 10. international conference on the entity relationship approach,San Mateo, CA (United States),23-25 Oct 1991; Other Information: PBD: Apr 1991
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; DATA BASE MANAGEMENT; T CODES; REAL TIME SYSTEMS; PROGRAMMING LANGUAGES; MATHEMATICAL MODELS; 990301; 990200; DATA HANDLING; MATHEMATICS AND COMPUTERS

Citation Formats

Rose, E, and Segev, A. TOODM: A temporal object-oriented data model with temporal constraints. United States: N. p., 1991. Web.
Rose, E, & Segev, A. TOODM: A temporal object-oriented data model with temporal constraints. United States.
Rose, E, and Segev, A. 1991. "TOODM: A temporal object-oriented data model with temporal constraints". United States. https://www.osti.gov/servlets/purl/10113805.
@article{osti_10113805,
title = {TOODM: A temporal object-oriented data model with temporal constraints},
author = {Rose, E and Segev, A},
abstractNote = {A static Entity-Relationship (ER) or static Extended ER (EER) data model is not sufficient for representing the underlying time component of the data, more complex data types as found in planning, design and office automation applications or the operation required for this complex data. The decreasing cost of mass storage devices accompanied by an increased need for real-time systems and easier access to historical and planning data has made the study of the temporal aspects of data models more interesting both theoretically and practically. Furthermore, the ER-based data models can capture relationships between classes but they do not understand the object-oriented paradigm since they treat application-specific relationships and paradigm-specific relationships such as inheritance in the same manner. This shortcoming accompanied by a lack of support for the time dimension results in the specification of temporal relationships and constraints at the application level and often leads to inconsistencies in the data. In this paper, we extend the object-based ER model into a temporal, object-oriented model, incorporate temporal structures and constraints in the data model and propose a temporal, object-oriented query language for the model.},
doi = {},
url = {https://www.osti.gov/biblio/10113805}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Apr 01 00:00:00 EST 1991},
month = {Mon Apr 01 00:00:00 EST 1991}
}

Conference:
Other availability
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