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2016 | OriginalPaper | Chapter

Semantic Business Process Regulatory Compliance Checking Using LegalRuleML

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

Published in: Knowledge Engineering and Knowledge Management

Publisher: Springer International Publishing

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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 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.

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Footnotes
2
There are other approaches to compliance checking, namely: run-time and post-execution approaches, see [18] for details.
 
4
At the time of writing LegalRuleML is just about to enter in its public review phase.
 
6
See Sect. 3.3 for how to model norms in LegalRuleML.
 
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2.
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Metadata
Title
Semantic Business Process Regulatory Compliance Checking Using LegalRuleML
Authors
Guido Governatori
Mustafa Hashmi
Ho-Pun Lam
Serena Villata
Monica Palmirani
Copyright Year
2016
Book
Knowledge Engineering and Knowledge Management

Print ISBN: 978-3-319-49003-8

Electronic ISBN: 978-3-319-49004-5

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-49004-5_48

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