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A Comparative Evaluation of Geospatial Semantic Web Frameworks for Cultural Heritage

dc.contributor.authorNishanbaev, Ikrom
dc.contributor.authorChampion, Erik
dc.contributor.authorMcMeekin, David A.
dc.date.accessioned2023-11-20T22:16:04Z
dc.date.available2023-11-20T22:16:04Z
dc.date.issued2020
dc.date.updated2022-09-11T08:17:46Z
dc.description.abstractRecently, many Resource Description Framework (RDF) data generation tools have been developed to convert geospatial and non-geospatial data into RDF data. Furthermore, there are several interlinking frameworks that find semantically equivalent geospatial resources in related RDF data sources. However, many existing Linked Open Data sources are currently sparsely interlinked. Also, many RDF generation and interlinking frameworks require a solid knowledge of Semantic Web and Geospatial Semantic Web concepts to successfully deploy them. This article comparatively evaluates features and functionality of the current state-of-the-art geospatial RDF generation tools and interlinking frameworks. This evaluation is specifically performed for cultural heritage researchers and professionals who have limited expertise in computer programming. Hence, a set of criteria has been defined to facilitate the selection of tools and frameworks. In addition, the article provides a methodology to generate geospatial cultural heritage RDF data and to interlink it with the related RDF data. This methodology uses a CIDOC Conceptual Reference Model (CRM) ontology and interlinks the RDF data with DBpedia. Although this methodology has been developed for cultural heritage researchers and professionals, it may also be used by other domain professionals.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2571-9408en_AU
dc.identifier.urihttp://hdl.handle.net/1885/306419
dc.language.isoen_AUen_AU
dc.provenanceThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_AU
dc.publisherM D P I AGen_AU
dc.rights© 2020 The authorsen_AU
dc.rights.licenseCreative Commons Attribution licenceen_AU
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceHeritageen_AU
dc.subjectthe Geospatial Semantic Weben_AU
dc.subjectthe Semantic Weben_AU
dc.subjectcultural heritageen_AU
dc.subjectCIDOC CRMen_AU
dc.titleA Comparative Evaluation of Geospatial Semantic Web Frameworks for Cultural Heritageen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue3en_AU
local.bibliographicCitation.lastpage890en_AU
local.bibliographicCitation.startpage875en_AU
local.contributor.affiliationNishanbaev, Ikrom, Curtin Universityen_AU
local.contributor.affiliationChampion, Erik, College of Arts and Social Sciences, ANUen_AU
local.contributor.affiliationMcMeekin, David A., Curtin Universityen_AU
local.contributor.authoruidChampion, Erik, u1102920en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor330301 - Data visualisation and computational (incl. parametric and generative) designen_AU
local.identifier.absfor460106 - Spatial data and applicationsen_AU
local.identifier.absfor430306 - Digital historyen_AU
local.identifier.ariespublicationu5163985xPUB273en_AU
local.identifier.citationvolume3en_AU
local.identifier.doi10.3390/heritage3030048en_AU
local.publisher.urlhttps://www.mdpi.com/en_AU
local.type.statusPublished Versionen_AU

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