A Visual Analysis of Hazardous Events in Contract Risk Management
conference paper
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 im plicit 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 haz ardous 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.
TNO Identifier
1005168
Source title
Proceedings of the 12th International Conference on Data Science, Technology and Applications (DATA 2023).
Pages
1-8
Files
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