Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features

Shahab POURTALEBI; Imre HORVÁTH

doi:10.1631/FITEE.1600997

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Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features

Invited Papers | Updated：2022-05-19

- Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features
- 用于定义系统表现特征的基因型与表型仓库数据库的信息图式构造方法
- Frontiers of Information Technology & Electronic Engineering Vol. 17, Issue 9, Pages: 862-884(2016)
- Affiliations：
  
  Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628 CE Delft, Zuid Holland, the Netherlands
- Author bio：
  
  E-mail:s.pourtalebihendehkhaleh@tudelft.nl
  [ "Imre HORVÁTH obtained MSc diplomas in mechanical engineering and engineering education from the Technical University of Budapest in 1978 and 1980, respectively. Then he worked for the GANZ Hungarian Shipyards and Crane Factory until 1983. He had various faculty positions at the Technical University of Budapest until 1996. He earned dr.univ. and Ph.D. titles from the Technical University of Budapest in 1987, and C.D.Sc. title from the Hungarian Academy of Sciences in 1993. He was nominated to a chair professor position at the Faculty of Industrial Design Engineering, Delft University of Technology in 1996. He has more than 350 publications. He acted as co-Editor-in-Chief of Computer-Aided Design in the period of 2004–2014, and is emeritus editor now. He is associate editor of Journal of Engineering Design. He compiled 29 journal special issues as guest editor and edited 15 conference proceedings. His current research interest is in designing smart cyber-physical systems, and tools and methods for modeling of reasoning mechanisms of cyber-physical systems. He is initiator of the series of International Tools and Methods of Competitive Engineering Symposia. He served in various positions on the Executive Board of the CIE Division of ASME and is a fellow of ASME." ]
- Funds：
- DOI：10.1631/FITEE.1600997
  CLC： TP391;TP311
- Received：15 February 2016，
  
  Accepted：22 May 2016，
  
  Published：2016-09
- Accepted：
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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.
DOI：

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. DOI： 10.1631/FITEE.1600997.

摘要

我们的长期目标是为复杂、异构系统（如信息物理系统）的预实体化设计建立一个软件工具箱。该工具箱的新颖性在于其利用了系统表现特征（system manifestation features

SMF）来进行跨学科的系统建模。实现该工具箱的难点在于其仓库的计算实现不依赖于功能设计和语言，和对于多种不断演变的SMF（基因型、表型及实例）工具的系统化的开发和管理。因此，我们提出了一种基于信息模式构造（information schema construct

ISC）的方法用以构造相关联的仓库数据库图式以及前述的SMF。ISC从逻辑上将SMF的数据内容整合为一组不同语义下的关系表。本文中我们给出了创建基因型和表型所必需的信息模式构造。这些信息模式构造提高了数据库的开发效率，并使数据之间的联系透明化。下一步研究中我们将重点关注基于SMF实例的系统建模方法的实施细节。

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 lan-guage-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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