Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/1556
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dc.creatorDimitrieski, Vladimir
dc.creatorPetrović, Gajo
dc.creatorKovačević, Aleksandar
dc.creatorLuković, Ivan
dc.creatorFujita, Hamido
dc.date.accessioned2023-05-12T11:02:18Z-
dc.date.available2023-05-12T11:02:18Z-
dc.date.issued2016
dc.identifier.issn0302-9743
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/1556-
dc.description.abstractIn the era of Internet, high connectivity and openness introduced an opportunity for a new kind of approach to healthcare information system integration. Such an approach may utilize semantic-based technologies to represent and communicate knowledge between these systems. Resource Description Framework (RDF) in conjunction with Web Ontology Language (OWL) can be considered as a de facto standard when it comes to semantic web and linked data technologies, and represents a foundation for defining healthcare ontologies. The goal of this paper is to provide an overview and critical review of existing healthcare ontologies and approaches to healthcare IS integration, focusing on OWL/RDF based solutions. With this review we want to show that although a lot work is done in this area, no universal or omnipresent solution has surfaced to allow automatic or at least semi-automatic integration of healthcare ISs. As there is a large number of established and emerging ontologies covering this subject our review will not provide an exhaustive collection of all the references in the area, but present the most notable standards, ontologies, taxonomies, and integration approaches.en
dc.publisherSpringer International Publishing Ag, Cham
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/47003/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/44010/RS//
dc.rightsrestrictedAccess
dc.sourceTrends in Applied Knowledge-Based Systems and Data Science
dc.subjectSurveyen
dc.subjectSemantic weben
dc.subjectOntology matchingen
dc.subjectOntology alignmenten
dc.subjectHealthcare ontologyen
dc.titleA Survey on Ontologies and Ontology Alignment Approaches in Healthcareen
dc.typeconferenceObject
dc.rights.licenseARR
dc.citation.epage385
dc.citation.other9799: 373-385
dc.citation.spage373
dc.citation.volume9799
dc.identifier.doi10.1007/978-3-319-42007-3_32
dc.identifier.rcubconv_1878
dc.identifier.scopus2-s2.0-84978870724
dc.identifier.wos000387771300032
dc.type.versionpublishedVersion
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
item.openairetypeconferenceObject-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
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