Semantic business process regulatory compliance checking using LegalRuleML

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

Research output: Book chapter/Published conference paperConference paperpeer-review

27 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationKnowledge Engineering and Knowledge Management
Subtitle of host publication20th International Conference, EKAW 2016, Proceedings
EditorsPaolo Ciancarini, Francesco Poggi, Fabio Vitali, Eva Blomqvist
Place of PublicationCham, Switzerland
PublisherSpringer
Pages746-761
Number of pages16
Volume1
ISBN (Electronic)9783319490045
ISBN (Print)9783319490038
DOIs
Publication statusPublished - 2016
Event20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016 - Bologna, Italy
Duration: 19 Nov 201623 Nov 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10024 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016
Country/TerritoryItaly
CityBologna
Period19/11/1623/11/16

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