Authors:
Georgios Stathis
1
;
2
;
Giulia Biagioni
2
;
Athanasios Trantas
2
;
Jaap van den Herik
1
and
Bart Custers
1
Affiliations:
1
eLaw - Centre for Law and Digital Technologies, Leiden University, Kamerlingh Onnes Building, Steenschuur 25, Leiden, The Netherlands
;
2
Unit ISP, TNO, New Babylon, Anna van Buerenplein 41a, Den Haag, The Netherlands
Keyword(s):
Intelligent Contracts, Contract Risk Management, Bow-Tie Method, Legal Visualisation, Preventive/Proactive Law, Ontology Engineering, Ontology Visualisation.
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 i
nvestigate 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.
(More)