2019
DOI: 10.3390/heritage2020093
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A Survey of Geospatial Semantic Web for Cultural Heritage

Abstract: The amount of digital cultural heritage data produced by cultural heritage institutions is growing rapidly. Digital cultural heritage repositories have therefore become an efficient and effective way to disseminate and exploit digital cultural heritage data. However, many digital cultural heritage repositories worldwide share technical challenges such as data integration and interoperability among national and regional digital cultural heritage repositories. The result is dispersed and poorly-linked cultured h… Show more

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Cited by 24 publications
(14 citation statements)
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“…Furthermore, there are some other technical challenges such as representing raster data in an RDF data model as well as querying raster RDF data, 3D RDF data representation and query, storing, and representing big geospatial RDF data, among others. For a more detailed discussion on the above-mentioned concepts, we recommend referring to our previous research article [24].…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, there are some other technical challenges such as representing raster data in an RDF data model as well as querying raster RDF data, 3D RDF data representation and query, storing, and representing big geospatial RDF data, among others. For a more detailed discussion on the above-mentioned concepts, we recommend referring to our previous research article [24].…”
Section: Discussionmentioning
confidence: 99%
“…However, at the time this article was written, the GeoNames platform also provided information about places in the linked-open-data-compatible format of RDF. Interested readers who would like to know more about the semantic web, ontologies, and the geospatial semantic web concepts pertinent to the cultural heritage field may refer to the previous work of the authors [20].…”
Section: Literature Reviewmentioning
confidence: 99%
“…To do so, they polygonize the desired region of the raster. This workaround is arguably not a complete solution to represent raster files in RDF as the original geometric source of the data is not preserved [21]. In our approach, the areas of interest are predefined, hence the geometries (polygons) are known.…”
Section: Processing Of Raster Data In a Semantic Frameworkmentioning
confidence: 99%