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DC poleHodnotaJazyk
dc.contributor.authorČerba, Otakar
dc.date.accessioned2019-03-04T11:50:35Z-
dc.date.available2019-03-04T11:50:35Z-
dc.date.issued2018
dc.identifier.citationČERBA, O. Linked GeoData Resources. In 7th International Conference on Cartography and GIS Proceedings, Vol. 1 and Vol. 2. Sofia: Bulgarian Cartographic Association, 2018. s. 361-368. ISSN 1314-0604.en
dc.identifier.issn1314-0604
dc.identifier.urihttp://hdl.handle.net/11025/31155
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherBulgarian Cartographic Associationen
dc.relation.ispartofseries7th International Conference on Cartography and GIS Proceedings, Vol. 1 and Vol. 2en
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© Bulgarian Cartographic Associationen
dc.titleLinked GeoData Resourcesen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessrestrictedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedLinked Data approach represents an interesting and promising phenomenon of the world of information technologies. Its benefits consist in openness, independence, stability of identifiers and high-level standardization. But its main advantage is the opportunity to interconnect data objects with other data objects entities in the Linked Data cloud. These connections can be based on hierarchical relations (subsumption), identity or similarity, topological or mereological (part-whole) properties. This paper wants to introduce and to describe the main resources providing so- called Linked Geo-Data (Linked Data on the geographical domain). They include specific geographical resources such as GeoNames.org or LinkedGeoData as well as general resources such as DBpedia, Wikidata or AGROVOC. Besides the short description of each selected resource, there is also a comparison of important properties of Linked Data resources such as export formats, implemented standards or links to other resources. Test of particular data object is realized on the data set of selected world countries. The results of this paper could be useful for any user dealing with geographical data. He or she will be able to find relevant data sets in the Linked Data cloud (data with spatial entities, statistical data, etc.). Afterwards such user can produce new derived data for future analyses. This approach profits from the important benefits of Linked Data – data are stored and maintained by a real producer (owner) and users just work with interconnected data object from various resources.en
dc.subject.translatedLinked Dataen
dc.subject.translatedData resourceen
dc.subject.translatedGeographical dataen
dc.type.statusPeer-revieweden
dc.identifier.obd43924345
Vyskytuje se v kolekcích:Konferenční příspěvky / Conference Papers (KGM)
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