Legal documents are the source of norms, guidelines, and rules that often feed into dierent applications. In this perspective, to foster the need of development and deployment of dierent applications, it is important to have a suciently expressive conceptual framework such that various heterogeneous aspects of norms can be modeled and reasoned with. In this paper, we investigate how to exploit Semantic Web 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.
Governatori, G., Hashmi, M., Lam, H., Villata, S., Palmirani, M. (2016). Semantic Business Process Regulatory Compliance Checking Using LegalRuleML. Springer International [10.1007/978-3-319-49004-5_48].
Semantic Business Process Regulatory Compliance Checking Using LegalRuleML
GOVERNATORI, GUIDO
;PALMIRANI, MONICA
2016
Abstract
Legal documents are the source of norms, guidelines, and rules that often feed into dierent applications. In this perspective, to foster the need of development and deployment of dierent applications, it is important to have a suciently expressive conceptual framework such that various heterogeneous aspects of norms can be modeled and reasoned with. In this paper, we investigate how to exploit Semantic Web 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.File | Dimensione | Formato | |
---|---|---|---|
POST PRINT Semantic Business.pdf
Open Access dal 01/01/2018
Descrizione: post print
Tipo:
Postprint
Licenza:
Licenza per accesso libero gratuito
Dimensione
806.11 kB
Formato
Adobe PDF
|
806.11 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.