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Modelling and publishing geographic data with model-driven and linked data approaches: case study of administrative units in Turkey

dc.contributor.authorAydinoglu, Arif Cagdas
dc.contributor.authorKara, Abdullah
dc.date.accessioned2026-06-27T14:21:29Z
dc.date.issued2019
dc.description.abstractGeographic data infrastructure (GDI) initiatives commonly use the Unified Modeling Language (UML) of model-driven architecture (MDA) and Geospatial Web services (GWS) for publishing geographic data. Ontologies have also been employed for constructing GDI in recent years and the linked data approach can be used for publishing geographic data. This study aims to examine MDA and linked data approaches in modelling and publishing geographic data sets with the example of the administrative units of Turkey. It has been concluded that the linked data approach provides more opportunities for semantic interoperability and enables more reusable and accessible administrative unit data sets with related data sets on the Web.en
dc.description.urihttps://doi.org/10.1080/14498596.2017.1368420
dc.identifier.doi10.1080/14498596.2017.1368420
dc.identifier.eissn1836-5655
dc.identifier.endpage31
dc.identifier.issn1449-8596
dc.identifier.issue1
dc.identifier.startpage11
dc.identifier.urihttps://hdl.handle.net/20.500.14981/59660
dc.identifier.volume64
dc.identifier.wos000461796500003
dc.language.isoeng
dc.publisherTAYLOR & FRANCIS LTD
dc.relation.ispartofJOURNAL OF SPATIAL SCIENCE
dc.subjectGeographic data modelling
dc.subjectUML
dc.subjectGML
dc.subjectOWL
dc.subjectRDF
dc.subjectontology
dc.subjectlinked data
dc.subjectINFORMATION
dc.subjectGIS
dc.subjectPhysical Geography
dc.subjectRemote Sensing
dc.titleModelling and publishing geographic data with model-driven and linked data approaches: case study of administrative units in Turkey
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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