Working paper Open Access
Hunger, Francis
<?xml version='1.0' encoding='utf-8'?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#"> <rdf:Description rdf:about="https://doi.org/10.5281/zenodo.5705769"> <rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/> <dct:type rdf:resource="http://purl.org/dc/dcmitype/Text"/> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.5705769</dct:identifier> <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.5705769"/> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Hunger, Francis</foaf:name> <foaf:givenName>Francis</foaf:givenName> <foaf:familyName>Hunger</foaf:familyName> </rdf:Description> </dct:creator> <dct:title>Curation and its Statistical Automation by means of Artificial 'Intelligence'</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2021</dct:issued> <dcat:keyword>Data</dcat:keyword> <dcat:keyword>Curating</dcat:keyword> <dcat:keyword>Curator</dcat:keyword> <dcat:keyword>Artificial Intelligence</dcat:keyword> <dcat:keyword>Media Art</dcat:keyword> <dcat:keyword>Post-Internet</dcat:keyword> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2021-11-16</dct:issued> <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/> <owl:sameAs rdf:resource="https://zenodo.org/record/5705769"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/5705769</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <dct:relation rdf:resource="https://doi.org/10.5281/zenodo.4604880"/> <dct:relation rdf:resource="https://doi.org/10.5281/zenodo.4742621"/> <dct:source rdf:resource="https://doi.org/10.5281/zenodo.5589930"/> <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.5705768"/> <dct:isPartOf rdf:resource="https://zenodo.org/communities/digitalarthistory"/> <dct:description><p>The concept of post-AI curating discussed in this working paper explores curation as a knowledge-creation process, supported by pattern recognition and weighted networks as technical tools of artificial &lsquo;intelligence&rsquo;. The text discusses a number of concepts that build on each other, such as curating, curator, the curatorial, curatorial experimental research, post-human curating and post-AI curating.</p> <p>It then examines several projects as case studies that approach curation using artificial &lsquo;intelligence&rsquo;:<em> The Next Biennial Should Be Curated by a Machine</em> from UBERMORGEN, Leonardo Impett and Joasia Krysa (2021) as a meta-artwork about curation and biennials; Tillmann Ohm&rsquo;s project <em>Artificial Curator</em> (2020), which resulted in an automatically curated exhibition; and <em>#Exstrange </em>by Rebekah Modrak and Marialaura Ghidini et. al. (2017), which presents artworks as data objects on the eBay online platform.</p> <p>Finally the text shifts to summarising embeddedness, big data infrastructures, spatiality and information model, solutionism and digital humanities, selection and similarity as instances of post-AI curating.</p></dct:description> <dct:description>Training the Archive Working Paper Series, Paper 3</dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dcat:distribution> <dcat:Distribution> <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.5705769"/> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.5705769"/> <dcat:byteSize>6273146</dcat:byteSize> <dcat:downloadURL rdf:resource="https://zenodo.org/record/5705769/files/Hunger – Curating and Artificial Intelligence 2021.pdf"/> <dcat:mediaType>application/pdf</dcat:mediaType> </dcat:Distribution> </dcat:distribution> </rdf:Description> </rdf:RDF>
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