Jontorisk: An ontology-based platform for knowledge-based simulation modeling in financial risk management

Christian Cuske, Tilo Dickopp, Stefan Seedorf

Research output: Contribution to conferencePaperpeer-review

12 Citations (Scopus)

Abstract

Modeling and simulation has become a well-established approach to efficiently back financial risk management applications. One major challenge though, remains the task of bringing together the domain-specific knowledge with the technical skills required for the implementation. This possibly results in a semantic gap between a domain's conceptualization and its technical representation inside the simulation. In this paper we argue towards improving simulation engineering in risk management through the utilization of domain knowledge. In order to enhance the process of modeling simulations, we integrate common characteristics of the problem domain into the ontology-based simulation platform JOn-toRisk. The transfer to the technical representation is hereby automated and the semantic gap closed. The proof of concept is conceded by simulating a basic technology risk environment using our platform.

Original languageEnglish
Pages79-86
Number of pages8
Publication statusPublished - 2005
Externally publishedYes
Event19th Annual European Simulation and Modelling Conference, ESM 2005 - Porto, Portugal
Duration: 24 Oct 200526 Oct 2005

Conference

Conference19th Annual European Simulation and Modelling Conference, ESM 2005
Country/TerritoryPortugal
CityPorto
Period24/10/0526/10/05

Keywords

  • AI-supported simulation
  • Computer systems
  • Finance
  • Model design
  • Risk analysis

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