A Visual Analysis of Hazardous Events in Contract Risk Management

Georgios Stathis, Georgios Stathis, Giulia Biagioni, Athanasios Trantas, Jaap van den Herik, Bart Custers

2023

Abstract

This article proposes a new visual analysis method of hazardous events to be used in contract risk management. We present our research work for the creation of an ontological extension of the Onassis Ontology to manage, analyse and visualise risk data. Onassis is an openly accessible ontology that we earlier designed to structure contract automation data. Onassis and its extension for risk management contribute to the development of trustworthy Intelligent Contracts (iContracts). They allow for the creation of explicit data out of usually implicit contractual information and legal processes on which it is possible to perform cross-referencing analysis with other collections of data. The ontological model that resulted from our study additionally contributes to the disambiguation of the bow-tie method structure, the primary method for analysing and visualising hazardous events. To achieve this, we use the following methodology. We visualise the bow-tie method in an ontology and then investigate the presence of taxonomic ambiguities or even errors in its structure. The results present an enriched version of bow-tie conceptualisation, in which entities and relationships are translated into openly-accessible and ready-to-use ontological terms, whereas risk analysis becomes visible.

Paper Citation

in Harvard Style

Stathis G., Biagioni G., Trantas A., van den Herik J. and Custers B. (2023). A Visual Analysis of Hazardous Events in Contract Risk Management. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-664-4, SciTePress, pages 227-234. DOI: 10.5220/0012049600003541

in Bibtex Style

@conference{data23,
author={Georgios Stathis and Giulia Biagioni and Athanasios Trantas and Jaap van den Herik and Bart Custers},
title={A Visual Analysis of Hazardous Events in Contract Risk Management},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2023},
pages={227-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012049600003541},
isbn={978-989-758-664-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - A Visual Analysis of Hazardous Events in Contract Risk Management
SN - 978-989-758-664-4
AU - Stathis G.
AU - Biagioni G.
AU - Trantas A.
AU - van den Herik J.
AU - Custers B.
PY - 2023
SP - 227
EP - 234
DO - 10.5220/0012049600003541
PB - SciTePress