Diagrammatically formalising constraints of a privacy ontology

Chen, S; Delaney, A

Diagrammatically formalising constraints of a privacy ontology

Chen, S Delaney, A

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, 10871 LNAI pp. 672 - 679
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Chen, S	en_US
dc.contributor.author	Delaney, A	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, 10871 LNAI pp. 672 - 679	en_US
dc.identifier.isbn	9783319913759	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133715
dc.description.abstract	© Springer International Publishing AG, part of Springer Nature 2018. Data privacy is a cross-cutting concern for many software projects. We reify a philosophically inspired model for data privacy into a concept diagram. From the concept diagram we extract the privacy constraints and demonstrate one mechanism for translating the constraints into executable software.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-319-91376-6_59	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Diagrammatically formalising constraints of a privacy ontology	en_US
dc.type	Conference Proceeding
utslib.citation.volume	10871 LNAI	en_US
utslib.for	0804 Data Format	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	10871 LNAI	en_US

Abstract:

© Springer International Publishing AG, part of Springer Nature 2018. Data privacy is a cross-cutting concern for many software projects. We reify a philosophically inspired model for data privacy into a concept diagram. From the concept diagram we extract the privacy constraints and demonstrate one mechanism for translating the constraints into executable software.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/133715