Automated composition and execution of web-based simulation systems through knowledge designing and reasoning

Dohyun Kim, Dongsu Jeong, Yoonho Seo

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Modeling and simulation (M&S) techniques can be used to improve cooperation among participants by clarifying the various design aspects of a devised system. Whenever an M&S system with specific functions is required, redesigning it from scratch is time and resource intensive. Thus, an approach to reuse or reconfigure existing systems with functions similar to the required ones is a potential alternative to overcome such problems. This paper proposes a method to build composite systems providing specific M&S functions through the web. The method proposed herein offers an integrated process that includes web-based reuse of existing systems, analysis of the requirements of a composite system, derivation of the logical execution order of element systems, and interconnection of the input–output interfaces between linked constituent systems. This approach provides the required tools by dynamically reconfiguring the element systems at the requested locations. The experimental results demonstrate that the proposed procedure can provide automatic generation of the required M&S system (e.g., missile-interception simulation system) and deliver the system to the target location of the cooperative work through the web.

Original languageEnglish
Article number101263
JournalAdvanced Engineering Informatics
Publication statusPublished - 2021 Apr

Bibliographical note

Funding Information:
This work was supported by the Defense Acquisition Program Administration and the Agency for Defense Development under contract UD140022PD, UD110006MD, Korea.

Publisher Copyright:
© 2021 Elsevier Ltd


  • Abductive event calculus
  • Data transformation
  • Ontology design
  • System composition and execution
  • Weapon system design
  • Web-based simulation

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence


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