Business process compliance with regulations has been a topic of many research areas in Computer Science such as Requirements Engineering (RE), Artificial Intelligence (AI), Logic and Natural Language Processing (NLP). This work aims to provide a systematic way of establishing and managing compliance to assist decision-making and reporting. Despite many notable advances, few systems deal adequately with legal interpretation and modeling norms in an expressive way that is well-integrated with business modeling practices. In this paper, we bring together two leading systems, Legal-URN and Eunomos, for a comprehensive compliance management solution.

Integrating legal-URN and eunomos: Towards a comprehensive compliance management solution

Boella G.;Humphreys L.;
2014-01-01

Abstract

Business process compliance with regulations has been a topic of many research areas in Computer Science such as Requirements Engineering (RE), Artificial Intelligence (AI), Logic and Natural Language Processing (NLP). This work aims to provide a systematic way of establishing and managing compliance to assist decision-making and reporting. Despite many notable advances, few systems deal adequately with legal interpretation and modeling norms in an expressive way that is well-integrated with business modeling practices. In this paper, we bring together two leading systems, Legal-URN and Eunomos, for a comprehensive compliance management solution.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Springer Verlag
8929
130
144
978-3-662-45959-1
978-3-662-45960-7
Compliance; Legal interpretation; Requirements engineering
Boella G.; Tosatto S.C.; Ghanavati S.; Hulstijn J.; Humphreys L.; Muthuri R.; Rifaut A.; Van Der Torre L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1762581
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