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 language | English |
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Pages | 79-86 |
Number of pages | 8 |
Publication status | Published - 2005 |
Externally published | Yes |
Event | 19th Annual European Simulation and Modelling Conference, ESM 2005 - Porto, Portugal Duration: 24 Oct 2005 → 26 Oct 2005 |
Conference
Conference | 19th Annual European Simulation and Modelling Conference, ESM 2005 |
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Country/Territory | Portugal |
City | Porto |
Period | 24/10/05 → 26/10/05 |
Keywords
- AI-supported simulation
- Computer systems
- Finance
- Model design
- Risk analysis