CLC number: TP391; TP311
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2016-08-08
Cited: 1
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Citations: Bibtex RefMan EndNote GB/T7714
Shahab Pourtalebi, Imre Horváth. Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(9): 862-884.
@article{title="Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features",
author="Shahab Pourtalebi, Imre Horváth",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="17",
number="9",
pages="862-884",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1600997"
}
%0 Journal Article
%T Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features
%A Shahab Pourtalebi
%A Imre Horváth
%J Frontiers of Information Technology & Electronic Engineering
%V 17
%N 9
%P 862-884
%@ 2095-9184
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1600997
TY - JOUR
T1 - Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features
A1 - Shahab Pourtalebi
A1 - Imre Horváth
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
IS - 9
SP - 862
EP - 884
%@ 2095-9184
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1600997
Abstract: Our long-term objective is to develop a software toolbox for pre-embodiment design of complex and heterogeneous systems, such as cyber-physical systems. The novelty of this toolbox is that it uses system manifestation features (SMFs) for transdisciplinary modeling of these systems. The main challenges of implementation of the toolbox are functional design- and language-independent computational realization of the warehouses, and systematic development and management of the various evolving implements of SMFs (genotypes, phenotypes, and instances). Therefore, an information schema construct (ISC) based approach is proposed to create the schemata of the associated warehouse databases and the above-mentioned SMF implements. ISCs logically arrange the data contents of SMFs in a set of relational tables of varying semantics. In this article we present the ISCs necessary for creation of genotypes and phenotypes. They increase the efficiency of the database development process and make the data relationships transparent. Our follow-up research focuses on the elaboration of the SMF instances based system modeling methodology.
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