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

doi:10.1007/978-3-662-45960-7_10

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 proceeding › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

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 language	English
Title of host publication	AI Approaches to the Complexity of Legal Systems
Editors	P Casanovas, U Pagallo, M Palmirani, G Sartor
Place of Publication	Berlin
Publisher	Springer
Pages	130-144
Number of pages	15
ISBN (Print)	9783662459607
DOIs	https://doi.org/10.1007/978-3-662-45960-7_10
Publication status	Published - 2014
Externally published	Yes
Event	AICOL IV & AICOL V: International Workshop on Artificial Intelligence Approaches to the Complexity of Legal Systems - Belo Horizonte, Brazil Duration: 21 Jul 2013 → 27 Jul 2013

Publication series

Name	Lecture Notes in Computer Science; 8929

Conference

Conference	AICOL IV & AICOL V
Country/Territory	Brazil
City	Belo Horizonte
Period	21/07/13 → 27/07/13

Keywords

compliance
legal interpretation
requirements engineering

Access to Document

10.1007/978-3-662-45960-7_10

Cite this

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 (pp. 130-144). (Lecture Notes in Computer Science; 8929). Springer. https://doi.org/10.1007/978-3-662-45960-7_10

@inproceedings{e4f38c6171814a6499590df2b8023be8,

title = "Integrating legal-URN and eunomos: Towards a comprehensive compliance management solution",

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.",

keywords = "compliance, legal interpretation, requirements engineering",

author = "G Boella and {Colombo Tosatto}, S and S Ghanavati and J Hulstijn and L Humphreys and R Muthuri and A Rifaut and {van der Torre}, L",

year = "2014",

doi = "10.1007/978-3-662-45960-7_10",

language = "English",

isbn = "9783662459607",

series = "Lecture Notes in Computer Science; 8929",

publisher = "Springer",

pages = "130--144",

editor = "P Casanovas and U Pagallo and M Palmirani and G Sartor",

booktitle = "AI Approaches to the Complexity of Legal Systems",

address = "Germany",

note = "AICOL IV & AICOL V : International Workshop on Artificial Intelligence Approaches to the Complexity of Legal Systems ; Conference date: 21-07-2013 Through 27-07-2013",

}

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 et al.
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 proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Integrating legal-URN and eunomos

T2 - AICOL IV & AICOL V

AU - Boella, G

AU - Colombo Tosatto, S

AU - Ghanavati, S

AU - Hulstijn, J

AU - Humphreys, L

AU - Muthuri, R

AU - Rifaut, A

AU - van der Torre, L

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - compliance

KW - legal interpretation

KW - requirements engineering

U2 - 10.1007/978-3-662-45960-7_10

DO - 10.1007/978-3-662-45960-7_10

M3 - Conference contribution

SN - 9783662459607

T3 - Lecture Notes in Computer Science; 8929

SP - 130

EP - 144

BT - AI Approaches to the Complexity of Legal Systems

A2 - Casanovas, P

A2 - Pagallo, U

A2 - Palmirani, M

A2 - Sartor, G

PB - Springer

CY - Berlin

Y2 - 21 July 2013 through 27 July 2013

ER -

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). doi: 10.1007/978-3-662-45960-7_10

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

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this