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dc.contributor.authorPalmirani, Monica
dc.contributor.authorGovernatori, Guido
dc.contributor.editorPalmirani, M
dc.date.accessioned2019-06-26T00:49:45Z
dc.date.available2019-06-26T00:49:45Z
dc.date.issued2018
dc.identifier.isbn978-1-61499-934-8
dc.identifier.issn0922-6389
dc.identifier.doi10.3233/978-1-61499-935-5-101
dc.identifier.urihttp://hdl.handle.net/10072/385804
dc.description.abstractIn 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.peerreviewedYes
dc.languageEnglish
dc.publisherIOS PRESS
dc.relation.ispartofconferencename31st International Conference on Legal Knowledge and Information Systems (JURIX)
dc.relation.ispartofconferencetitleLEGAL KNOWLEDGE AND INFORMATION SYSTEMS (JURIX 2018)
dc.relation.ispartofdatefrom2018-12-12
dc.relation.ispartofdateto2018-12-14
dc.relation.ispartoflocationUniv Groningen, Fac Sci & Engn, Bernoulli Inst Math, Comp Sci & Artificial, Groningen, NETHERLANDS
dc.relation.ispartofpagefrom101
dc.relation.ispartofpageto110
dc.relation.ispartofvolume313
dc.subject.fieldofresearchInformation systems
dc.subject.fieldofresearchcode4609
dc.titleModelling Legal Knowledge for GDPR Compliance Checking
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.hasfulltextNo Full Text
gro.griffith.authorGovernatori, Guido


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