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dc.contributor.authorSoylu, Ahmet
dc.contributor.authorCorcho, Oscar
dc.contributor.authorSimperl, Elena
dc.contributor.authorRoman, Dumitru
dc.contributor.authorFrancisco, Yedro Martínez
dc.contributor.authorTaggart, Chris
dc.contributor.authorMakgill, Ian
dc.contributor.authorElvesæter, Brian
dc.contributor.authorSymonds, Ben
dc.contributor.authorMcNally, Helen
dc.contributor.authorKonstantinidis, George
dc.contributor.authorZhao, Yuchen
dc.contributor.authorLech, Till Christopher
dc.date.accessioned2019-01-07T07:57:16Z
dc.date.available2019-01-07T07:57:16Z
dc.date.created2019-01-03T19:43:22Z
dc.date.issued2018
dc.identifier.citationCEUR Workshop Proceedings. 2018, 2262 .nb_NO
dc.identifier.issn1613-0073
dc.identifier.urihttp://hdl.handle.net/11250/2579354
dc.description.abstractPublic procurement accounts for a substantial part of the public investment and global economy. Therefore, improving effectiveness, efficiency, transparency and accountability of government procurement is of broad interest. To this end, in this poster paper, we present our approach for integrating procurement data, including public spending and corporate data, from multiple sources across the EU into a semantic knowledge graph. We are aiming to improve procurement processes through supporting multiple stake holders, such as government agencies, companies, control authorities, journalists, researchers, and individual citizens.nb_NO
dc.language.isoengnb_NO
dc.relation.urihttp://ceur-ws.org/Vol-2262/
dc.titleTowards Integrating Public Procurement Data into a Semantic Knowledge Graphnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber4nb_NO
dc.source.volume2262nb_NO
dc.source.journalCEUR Workshop Proceedingsnb_NO
dc.identifier.cristin1649987
dc.relation.projectEC/H2020/780247nb_NO
cristin.unitcode7401,90,12,0
cristin.unitnameSoftware and Service Innovation
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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