Computational modeling systems

Terence R. Smith, Jianwen Su, Amr El Abbadi, Divyakant Agrawal, Gustavo Alonso, Amitabh Saran

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

A computational modeling system (CMS) provides scientific investigators with a unified computational environment and easy access to a broad range of modeling tools. The goal of a CMS is to provide computational support that increases the efficiency of scientists in the iterative process of modeling. A CMS consists of a computational modeling environment and transparent computational support for the environment. The modeling environment is based on a characterization of scientific modeling activities that is focussed on the manner in which scientific concepts are represented, manipulated, and evaluated, in the scientific modeling process. Based on a formalization of the representation for a concept as representational structures (or "R-structures"), the process of scientific modeling may be viewed as one in which (1) extensible collections R-structures are constructed, evaluated and applied in modeling both the phenomena in specific application domains and the phenomena of the modeling process itself; and (2) instances of the domain elements of R-structures are created and sequences of transformations are applied to the instances. R-structures provide a "complete" and consistent foundation for both the modeling environment of a CMS and its associated, high-level computational modeling language (CML). CML may be employed in creating, accessing, and manipulating R-structures and their components in a simple, uniform manner. A CMS provides a unifying framework for the integration of existing tools, such as DBMS and mathematical software modules, and a distributed modeling environment. Based on the general specification of a CMS, we have designed and implemented a specific CMS, Amazonia, which supports earth science applications in terms of a specific set of R-structures and a "seamlessly" integrated and extendable collection of computational modules, including an object-oriented DBMS.

Original languageEnglish
Pages (from-to)127-153
Number of pages27
JournalInformation Systems
Volume20
Issue number2
Publication statusPublished - 1 Apr 1995
Externally publishedYes

Fingerprint

Earth sciences
Specifications
Modeling languages
Computational modeling
Modeling

Keywords

  • Computational modeling systems
  • data models
  • scientific database systems

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Management Information Systems
  • Management of Technology and Innovation

Cite this

Smith, T. R., Su, J., El Abbadi, A., Agrawal, D., Alonso, G., & Saran, A. (1995). Computational modeling systems. Information Systems, 20(2), 127-153.

Computational modeling systems. / Smith, Terence R.; Su, Jianwen; El Abbadi, Amr; Agrawal, Divyakant; Alonso, Gustavo; Saran, Amitabh.

In: Information Systems, Vol. 20, No. 2, 01.04.1995, p. 127-153.

Research output: Contribution to journalArticle

Smith, TR, Su, J, El Abbadi, A, Agrawal, D, Alonso, G & Saran, A 1995, 'Computational modeling systems', Information Systems, vol. 20, no. 2, pp. 127-153.
Smith TR, Su J, El Abbadi A, Agrawal D, Alonso G, Saran A. Computational modeling systems. Information Systems. 1995 Apr 1;20(2):127-153.
Smith, Terence R. ; Su, Jianwen ; El Abbadi, Amr ; Agrawal, Divyakant ; Alonso, Gustavo ; Saran, Amitabh. / Computational modeling systems. In: Information Systems. 1995 ; Vol. 20, No. 2. pp. 127-153.
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