European Knowledge Acquisition Workshop

EKAW 2016: Knowledge Engineering and Knowledge Management pp 746-761

Semantic Business Process Regulatory Compliance Checking Using LegalRuleML

  • Guido Governatori
  • Mustafa Hashmi
  • Ho-Pun Lam
  • Serena Villata
  • Monica Palmirani
Conference paper

DOI: 10.1007/978-3-319-49004-5_48

Volume 10024 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Governatori G., Hashmi M., Lam HP., Villata S., Palmirani M. (2016) Semantic Business Process Regulatory Compliance Checking Using LegalRuleML. In: Blomqvist E., Ciancarini P., Poggi F., Vitali F. (eds) Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science, vol 10024. Springer, Cham

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.

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Guido Governatori
    • 1
  • Mustafa Hashmi
    • 1
  • Ho-Pun Lam
    • 1
  • Serena Villata
    • 2
  • Monica Palmirani
    • 3
  1. 1.Data61CSIROSpring HillAustralia
  2. 2.Université Côte d’Azur, CNRS, Inria, I3SRocquencourtFrance
  3. 3.CIRSFIDUniversity of BolognaBolognaItaly