Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1004
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dc.contributor.authorJanev, Valentinaen_US
dc.contributor.authorMilošević, Urošen_US
dc.contributor.authorSpasić, Mirkoen_US
dc.contributor.authorVraneš, Sanjaen_US
dc.contributor.authorMilojković, Jelenaen_US
dc.contributor.authorJireček, Brankoen_US
dc.date.accessioned2022-08-17T11:19:52Z-
dc.date.available2022-08-17T11:19:52Z-
dc.date.issued2012-10-17-
dc.identifier.isbn9781450312400-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/1004-
dc.description.abstractLinked Open Data (LOD) is a growing movement for organizations to make their existing data available in a machine-readable format. There are two equally important viewpoints to LOD: publishing and consuming. This article analyzes the requirements for both sub-processes and presents an example of publishing statistical data in RDF format and integrating the data into the LOD cloud via the PublicData.eu portal. In particular, it discusses the establishment of the Serbian CKAN metadata repository that serves for publishing open governmental data from Serbia, as well as a source catalogue for the PublicData.eu portal. Furthermore, by using an illustrative case study of the Statistical Office of the Republic of Serbia, it elaborates the adaption of the LOD2 Stack for analysis and dissemination of official statistics information. Copyright 2012 ACM.en_US
dc.language.isoenen_US
dc.subjectCKANen_US
dc.subjectGovernmenten_US
dc.subjectLinked dataen_US
dc.subjectLOD2en_US
dc.subjectPortalen_US
dc.subjectPublic dataen_US
dc.subjectSerbiaen_US
dc.subjectStatistical officeen_US
dc.titleIntegrating serbian public data into the LOD clouden_US
dc.typeConference Objecten_US
dc.relation.conferenceBalkan Conference in Informatics BCI (5 ; 2012 ; Novi Sad)en_US
dc.relation.publicationProceedings of the Fifth Balkan Conference in Informatics BCI 2012en_US
dc.identifier.doi10.1145/2371316.2371335-
dc.identifier.scopus2-s2.0-84867342317-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84867342317-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.description.rankM63en_US
dc.relation.firstpage94en_US
dc.relation.lastpage99en_US
item.openairetypeConference Object-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.orcid0000-0002-9304-4007-
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