On Capturing Legal Knowledge in Ontology and Process Models Combined

Melissa Zorzanelli Costa; Giancarlo Guizzardi; João Paulo A. Almeida

doi:10.3233/FAIA220478

On Capturing Legal Knowledge in Ontology and Process Models Combined

Melissa Zorzanelli Costa
, Giancarlo Guizzardi
, João Paulo A. Almeida

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

168 Downloads (Pure)

Abstract

In this paper, we explore conceptual modeling as a means to improve theexplicit representation of key aspects of a legal procedure. We employ in tandeman ontology-based structural conceptual model and a behavioral process model ascomplementary views on a legal subject matter. We examine as a case a speciﬁctype of appeal in the Brazilian legal system and establish a correspondence betweenelements in the models and fragments of the speciﬁc norms on which they aregrounded. These correspondences are expressed with identiﬁers using the BrazilianLexML identiﬁcation scheme.

Original language	English
Title of host publication	Legal Knowledge and Information Systems
Subtitle of host publication	JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14-16 December 2022
Editors	Enrico Francesconi, Georg Borges, Christoph Sorge
Publisher	IOS
Pages	267-272
Number of pages	6
ISBN (Electronic)	978-1-64368-365-2
ISBN (Print)	978-1-64368-364-5
DOIs	https://doi.org/10.3233/FAIA220478
Publication status	Published - 2022
Event	35th International Conference on Legal Knowledge and Information Systems, JURIX 2022 - Saarland University, Saarbrücken, Germany Duration: 14 Dec 2022 → 16 Dec 2022 Conference number: 35 https://jurix2022.rechtsinformatik.saarland/

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Publisher	IOS Press
Volume	362
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	35th International Conference on Legal Knowledge and Information Systems, JURIX 2022
Abbreviated title	JURIX 2022
Country/Territory	Germany
City	Saarbrücken
Period	14/12/22 → 16/12/22
Internet address	https://jurix2022.rechtsinformatik.saarland/

Keywords

Legal process
Legal ontology
OntoUML
BPMN
LexML

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10.3233/FAIA220478Licence: CC BY-NC

ArticleFinal published version, 528 KBLicence: CC BY-NC

Cite this

Costa, M. Z., Guizzardi, G., & Almeida, J. P. A. (2022). On Capturing Legal Knowledge in Ontology and Process Models Combined. In E. Francesconi, G. Borges, & C. Sorge (Eds.), Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14-16 December 2022 (pp. 267-272). (Frontiers in Artificial Intelligence and Applications; Vol. 362). IOS. https://doi.org/10.3233/FAIA220478

Costa, Melissa Zorzanelli ; Guizzardi, Giancarlo ; Almeida, João Paulo A. / On Capturing Legal Knowledge in Ontology and Process Models Combined. Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14-16 December 2022. editor / Enrico Francesconi ; Georg Borges ; Christoph Sorge. IOS, 2022. pp. 267-272 (Frontiers in Artificial Intelligence and Applications).

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title = "On Capturing Legal Knowledge in Ontology and Process Models Combined",

abstract = "In this paper, we explore conceptual modeling as a means to improve theexplicit representation of key aspects of a legal procedure. We employ in tandeman ontology-based structural conceptual model and a behavioral process model ascomplementary views on a legal subject matter. We examine as a case a speciﬁctype of appeal in the Brazilian legal system and establish a correspondence betweenelements in the models and fragments of the speciﬁc norms on which they aregrounded. These correspondences are expressed with identiﬁers using the BrazilianLexML identiﬁcation scheme.",

keywords = "Legal process, Legal ontology, OntoUML, BPMN, LexML",

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year = "2022",

doi = "10.3233/FAIA220478",

language = "English",

isbn = "978-1-64368-364-5",

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pages = "267--272",

editor = "Enrico Francesconi and Georg Borges and Christoph Sorge",

booktitle = "Legal Knowledge and Information Systems",

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note = "35th International Conference on Legal Knowledge and Information Systems, JURIX 2022, JURIX 2022 ; Conference date: 14-12-2022 Through 16-12-2022",

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Costa, MZ, Guizzardi, G & Almeida, JPA 2022, On Capturing Legal Knowledge in Ontology and Process Models Combined. in E Francesconi, G Borges & C Sorge (eds), Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14-16 December 2022. Frontiers in Artificial Intelligence and Applications, vol. 362, IOS, pp. 267-272, 35th International Conference on Legal Knowledge and Information Systems, JURIX 2022, Saarbrücken, Germany, 14/12/22. https://doi.org/10.3233/FAIA220478

On Capturing Legal Knowledge in Ontology and Process Models Combined. / Costa, Melissa Zorzanelli; Guizzardi, Giancarlo; Almeida, João Paulo A.
Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14-16 December 2022. ed. / Enrico Francesconi; Georg Borges; Christoph Sorge. IOS, 2022. p. 267-272 (Frontiers in Artificial Intelligence and Applications; Vol. 362).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Guizzardi, Giancarlo

AU - Almeida, João Paulo A.

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N2 - In this paper, we explore conceptual modeling as a means to improve theexplicit representation of key aspects of a legal procedure. We employ in tandeman ontology-based structural conceptual model and a behavioral process model ascomplementary views on a legal subject matter. We examine as a case a speciﬁctype of appeal in the Brazilian legal system and establish a correspondence betweenelements in the models and fragments of the speciﬁc norms on which they aregrounded. These correspondences are expressed with identiﬁers using the BrazilianLexML identiﬁcation scheme.

AB - In this paper, we explore conceptual modeling as a means to improve theexplicit representation of key aspects of a legal procedure. We employ in tandeman ontology-based structural conceptual model and a behavioral process model ascomplementary views on a legal subject matter. We examine as a case a speciﬁctype of appeal in the Brazilian legal system and establish a correspondence betweenelements in the models and fragments of the speciﬁc norms on which they aregrounded. These correspondences are expressed with identiﬁers using the BrazilianLexML identiﬁcation scheme.

KW - Legal process

KW - Legal ontology

KW - OntoUML

KW - BPMN

KW - LexML

U2 - 10.3233/FAIA220478

DO - 10.3233/FAIA220478

M3 - Conference contribution

SN - 978-1-64368-364-5

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BT - Legal Knowledge and Information Systems

A2 - Francesconi, Enrico

A2 - Borges, Georg

A2 - Sorge, Christoph

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T2 - 35th International Conference on Legal Knowledge and Information Systems, JURIX 2022

Y2 - 14 December 2022 through 16 December 2022

ER -

Costa MZ, Guizzardi G, Almeida JPA. On Capturing Legal Knowledge in Ontology and Process Models Combined. In Francesconi E, Borges G, Sorge C, editors, Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14-16 December 2022. IOS. 2022. p. 267-272. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA220478

On Capturing Legal Knowledge in Ontology and Process Models Combined

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