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

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.
Original languageEnglish
Title of host publicationAI Approaches to the Complexity of Legal Systems
EditorsP Casanovas, U Pagallo, M Palmirani, G Sartor
Place of PublicationBerlin
PublisherSpringer
Pages130-144
Number of pages15
ISBN (Print)9783662459607
DOIs
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

Conference

ConferenceAICOL IV & AICOL V
CountryBrazil
CityBelo Horizonte
Period21/07/1327/07/13

Fingerprint

Requirements engineering
Computer science
Artificial intelligence
Industry
Decision making
Processing
Compliance

Keywords

  • compliance
  • legal interpretation
  • requirements engineering

Cite this

Boella, G., Colombo Tosatto, S., Ghanavati, S., Hulstijn, J., Humphreys, L., Muthuri, R., ... van der Torre, L. (2014). Integrating legal-URN and eunomos: Towards a comprehensive compliance management solution. In P. Casanovas, U. Pagallo, M. Palmirani, & G. Sartor (Eds.), AI Approaches to the Complexity of Legal Systems (pp. 130-144). (Lecture Notes in Computer Science; 8929). Berlin: Springer. https://doi.org/10.1007/978-3-662-45960-7_10
Boella, G ; Colombo Tosatto, S ; Ghanavati, S ; Hulstijn, J ; Humphreys, L ; Muthuri, R ; Rifaut, A ; van der Torre, L. / Integrating legal-URN and eunomos : Towards a comprehensive compliance management solution. AI Approaches to the Complexity of Legal Systems. editor / P Casanovas ; U Pagallo ; M Palmirani ; G Sartor. Berlin : Springer, 2014. pp. 130-144 (Lecture Notes in Computer Science; 8929).
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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.",
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Boella, G, Colombo Tosatto, S, Ghanavati, S, Hulstijn, J, Humphreys, L, Muthuri, R, Rifaut, A & van der Torre, L 2014, Integrating legal-URN and eunomos: Towards a comprehensive compliance management solution. in P Casanovas, U Pagallo, M Palmirani & G Sartor (eds), AI Approaches to the Complexity of Legal Systems. Lecture Notes in Computer Science; 8929, Springer, Berlin, pp. 130-144, AICOL IV & AICOL V, Belo Horizonte, Brazil, 21/07/13. https://doi.org/10.1007/978-3-662-45960-7_10

Integrating legal-URN and eunomos : Towards a comprehensive compliance management solution. / Boella, G; Colombo Tosatto, S; Ghanavati, S; Hulstijn, J; Humphreys, L; Muthuri, R; Rifaut, A; van der Torre, L.

AI Approaches to the Complexity of Legal Systems. ed. / P Casanovas; U Pagallo; M Palmirani; G Sartor. Berlin : Springer, 2014. p. 130-144 (Lecture Notes in Computer Science; 8929).

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

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Boella G, Colombo Tosatto S, Ghanavati S, Hulstijn J, Humphreys L, Muthuri R et al. Integrating legal-URN and eunomos: Towards a comprehensive compliance management solution. In Casanovas P, Pagallo U, Palmirani M, Sartor G, editors, AI Approaches to the Complexity of Legal Systems. Berlin: Springer. 2014. p. 130-144. (Lecture Notes in Computer Science; 8929). https://doi.org/10.1007/978-3-662-45960-7_10