Semantic Business Process Regulatory Compliance Checking Using LegalRuleML

Guido Governatori 1 Mustafa Hashmi 1 Ho-Pun Lam 1 Serena Villata 2 Monica Palmirani 3
2 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
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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Guido Governatori, Mustafa Hashmi, Ho-Pun Lam, Serena Villata, Monica Palmirani. Semantic Business Process Regulatory Compliance Checking Using LegalRuleML. 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW2016), 2016, Bologna, Italy. pp.746 - 761, ⟨10.1007/978-3-319-49004-5_48⟩. ⟨hal-01572441⟩

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