dc.contributor.author | Palmirani, Monica | |
dc.contributor.author | Governatori, Guido | |
dc.contributor.editor | Palmirani, M | |
dc.date.accessioned | 2019-06-26T00:49:45Z | |
dc.date.available | 2019-06-26T00:49:45Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 978-1-61499-934-8 | |
dc.identifier.issn | 0922-6389 | |
dc.identifier.doi | 10.3233/978-1-61499-935-5-101 | |
dc.identifier.uri | http://hdl.handle.net/10072/385804 | |
dc.description.abstract | In the last fifteen years, Semantic Web technologies have been successfully applied to the legal domain. By composing all those techniques and theoretical methods, we propose an integrated framework for modelling legal documents and legal knowledge to support legal reasoning, in particular checking compliance. This paper presents a proof-of-concept applied to the GDPR domain, with the aim to detect infringements of privacy compulsory norms or to prevent possible violations using BPMN and Regorous engine. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.publisher | IOS PRESS | |
dc.relation.ispartofconferencename | 31st International Conference on Legal Knowledge and Information Systems (JURIX) | |
dc.relation.ispartofconferencetitle | LEGAL KNOWLEDGE AND INFORMATION SYSTEMS (JURIX 2018) | |
dc.relation.ispartofdatefrom | 2018-12-12 | |
dc.relation.ispartofdateto | 2018-12-14 | |
dc.relation.ispartoflocation | Univ Groningen, Fac Sci & Engn, Bernoulli Inst Math, Comp Sci & Artificial, Groningen, NETHERLANDS | |
dc.relation.ispartofpagefrom | 101 | |
dc.relation.ispartofpageto | 110 | |
dc.relation.ispartofvolume | 313 | |
dc.subject.fieldofresearch | Information systems | |
dc.subject.fieldofresearchcode | 4609 | |
dc.title | Modelling Legal Knowledge for GDPR Compliance Checking | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dc.type.code | E - Conference Publications | |
gro.hasfulltext | No Full Text | |
gro.griffith.author | Governatori, Guido | |