Semantic business process regulatory compliance checking using LegalRuleML

Guido Governatori; Mustafa Hashmi; Ho Pun Lam; Serena Villata; Monica Palmirani

doi:10.1007/978-3-319-49004-5_48

Semantic business process regulatory compliance checking using LegalRuleML

Guido Governatori, Mustafa Hashmi, Ho Pun Lam, Serena Villata, Monica Palmirani

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

28 Citations (Scopus)

Abstract

Legal documents are the source of norms, guidelines, and rules that often feed into different applications. In this perspective, to foster the need of development and deployment of different applications, it is important to have a sufficiently expressive conceptual framework such that various heterogeneous aspects of norms can be modeled and reasoned with. In this paper, we investigate how to exploit SemanticWeb technologies and languages, such as LegalRuleML, to model a legal document. We show how the semantic annotations can be used to empower a business process (regulatory) compliance system and discuss the challenges of adapting a semantic approach to legal domain.

Original language	English
Title of host publication	Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings
Editors	Paolo Ciancarini, Francesco Poggi, Fabio Vitali, Eva Blomqvist
Publisher	Springer Verlag
Pages	746-761
Number of pages	16
ISBN (Print)	9783319490038
DOIs	https://doi.org/10.1007/978-3-319-49004-5_48
Publication status	Published - 2016
Externally published	Yes
Event	20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016 - Bologna, Italy Duration: 19 Nov 2016 → 23 Nov 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10024 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016
Country/Territory	Italy
City	Bologna
Period	19/11/16 → 23/11/16

Access to Document

10.1007/978-3-319-49004-5_48

Cite this

Governatori, G., Hashmi, M., Lam, H. P., Villata, S., & Palmirani, M. (2016). Semantic business process regulatory compliance checking using LegalRuleML. In P. Ciancarini, F. Poggi, F. Vitali, & E. Blomqvist (Eds.), Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings (pp. 746-761). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10024 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-49004-5_48

Governatori, Guido ; Hashmi, Mustafa ; Lam, Ho Pun et al. / Semantic business process regulatory compliance checking using LegalRuleML. Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings. editor / Paolo Ciancarini ; Francesco Poggi ; Fabio Vitali ; Eva Blomqvist. Springer Verlag, 2016. pp. 746-761 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Semantic business process regulatory compliance checking using LegalRuleML",

abstract = "Legal documents are the source of norms, guidelines, and rules that often feed into different applications. In this perspective, to foster the need of development and deployment of different applications, it is important to have a sufficiently expressive conceptual framework such that various heterogeneous aspects of norms can be modeled and reasoned with. In this paper, we investigate how to exploit SemanticWeb technologies and languages, such as LegalRuleML, to model a legal document. We show how the semantic annotations can be used to empower a business process (regulatory) compliance system and discuss the challenges of adapting a semantic approach to legal domain.",

author = "Guido Governatori and Mustafa Hashmi and Lam, {Ho Pun} and Serena Villata and Monica Palmirani",

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doi = "10.1007/978-3-319-49004-5_48",

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Governatori, G, Hashmi, M, Lam, HP, Villata, S & Palmirani, M 2016, Semantic business process regulatory compliance checking using LegalRuleML. in P Ciancarini, F Poggi, F Vitali & E Blomqvist (eds), Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10024 LNAI, Springer Verlag, pp. 746-761, 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, Bologna, Italy, 19/11/16. https://doi.org/10.1007/978-3-319-49004-5_48

Semantic business process regulatory compliance checking using LegalRuleML. / Governatori, Guido; Hashmi, Mustafa; Lam, Ho Pun et al.
Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings. ed. / Paolo Ciancarini; Francesco Poggi; Fabio Vitali; Eva Blomqvist. Springer Verlag, 2016. p. 746-761 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10024 LNAI).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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AU - Hashmi, Mustafa

AU - Lam, Ho Pun

AU - Villata, Serena

AU - Palmirani, Monica

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - Legal documents are the source of norms, guidelines, and rules that often feed into different applications. In this perspective, to foster the need of development and deployment of different applications, it is important to have a sufficiently expressive conceptual framework such that various heterogeneous aspects of norms can be modeled and reasoned with. In this paper, we investigate how to exploit SemanticWeb technologies and languages, such as LegalRuleML, to model a legal document. We show how the semantic annotations can be used to empower a business process (regulatory) compliance system and discuss the challenges of adapting a semantic approach to legal domain.

AB - Legal documents are the source of norms, guidelines, and rules that often feed into different applications. In this perspective, to foster the need of development and deployment of different applications, it is important to have a sufficiently expressive conceptual framework such that various heterogeneous aspects of norms can be modeled and reasoned with. In this paper, we investigate how to exploit SemanticWeb technologies and languages, such as LegalRuleML, to model a legal document. We show how the semantic annotations can be used to empower a business process (regulatory) compliance system and discuss the challenges of adapting a semantic approach to legal domain.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 761

BT - Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings

A2 - Ciancarini, Paolo

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Governatori G, Hashmi M, Lam HP, Villata S, Palmirani M. Semantic business process regulatory compliance checking using LegalRuleML. In Ciancarini P, Poggi F, Vitali F, Blomqvist E, editors, Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings. Springer Verlag. 2016. p. 746-761. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-49004-5_48

Semantic business process regulatory compliance checking using LegalRuleML

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