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

G Boella, S Colombo Tosatto, S Ghanavati, J Hulstijn, L Humphreys, R Muthuri, A Rifaut, L van der Torre

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

3 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationAI Approaches to the Complexity of Legal Systems
EditorsP Casanovas, U Pagallo, M Palmirani, G Sartor
Place of PublicationBerlin
Number of pages15
ISBN (Print)9783662459607
Publication statusPublished - 2014
Externally publishedYes
EventAICOL IV & AICOL V: International Workshop on Artificial Intelligence Approaches to the Complexity of Legal Systems - Belo Horizonte, Brazil
Duration: 21 Jul 201327 Jul 2013

Publication series

NameLecture Notes in Computer Science; 8929


ConferenceAICOL IV & AICOL V
CityBelo Horizonte


  • compliance
  • legal interpretation
  • requirements engineering


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