Semantic business process regulatory compliance checking using LegalRuleML

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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 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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APA

Governatori, G., Hashmi, M., Lam, H. P., Villata, S., & Palmirani, M. (2016). Semantic business process regulatory compliance checking using LegalRuleML. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10024 LNAI, pp. 746–761). Springer Verlag. https://doi.org/10.1007/978-3-319-49004-5_48

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