Conference paper Open Access
Pandit, Harshvardhan J.;
O'Sullivan, Declan;
Lewis, Dave
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <controlfield tag="005">20200120152954.0</controlfield> <controlfield tag="001">3246477</controlfield> <datafield tag="711" ind1=" " ind2=" "> <subfield code="g">CKG</subfield> <subfield code="a">Workshop on Contextualized Knowledge Graphs</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">ADAPT Centre, Trinity College Dubln</subfield> <subfield code="0">(orcid)0000-0003-1090-3548</subfield> <subfield code="a">O'Sullivan, Declan</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">ADAPT Centre, Trinity College Dubln</subfield> <subfield code="0">(orcid)0000-0002-3503-4644</subfield> <subfield code="a">Lewis, Dave</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">266278</subfield> <subfield code="z">md5:1fdafe58f6943f0136b653298adcd8dc</subfield> <subfield code="u">https://zenodo.org/record/3246477/files/preprint.pdf</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2019-03-02</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire</subfield> <subfield code="o">oai:zenodo.org:3246477</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">ADAPT Centre, Trinity College Dubln</subfield> <subfield code="0">(orcid)0000-0002-5068-3714</subfield> <subfield code="a">Pandit, Harshvardhan J.</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Towards Knowledge-Based Systems for GDPRCompliance</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">13/RC/2106</subfield> <subfield code="a">ADAPT: Centre for Digital Content Platform Research</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>Legal compliance is traditionally seen to be sufficiently demonstrable using legal documents that describe how various operations and activities&nbsp; follow&nbsp; a&nbsp; given&nbsp; set&nbsp; of&nbsp; obligations.&nbsp; The&nbsp; General&nbsp; Data&nbsp; Protection Regulation (GDPR) enforces larger responsibilities upon organisations and provides motivation for the use of technological measures that can ease its compliance. While there is no legal requirement to collaborate&nbsp; on&nbsp; compliance&nbsp; technologies&nbsp; or&nbsp; to&nbsp; use&nbsp; a&nbsp; common&nbsp; mechanism&nbsp; for defining knowledge, doing so has several benefits to the larger community.&nbsp; Through&nbsp; this&nbsp; paper,&nbsp; we&nbsp; describe&nbsp; how&nbsp; open&nbsp; and&nbsp; shared&nbsp; technologies targeted towards GDPR and its compliance can be used to create knowledge-based systems. Our approach uses semantic web technologies due to their open and flexible nature towards describing concepts and relationships.&nbsp; We&nbsp; present&nbsp; a&nbsp; model&nbsp; for&nbsp; such&nbsp; a&nbsp; knowledge-based&nbsp; system along with work published to date.</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.3246476</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.3246477</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">conferencepaper</subfield> </datafield> </record>
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