2015
DOI: 10.1080/13658816.2015.1084420
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Spatial data fusion in Spatial Data Infrastructures using Linked Data

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Cited by 53 publications
(45 citation statements)
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“…Such knowledge bases have the potential to lead online geospatial data analysis to a finer scale. For example, a few recent studies have already begun to fuse spatial features in spatial data infrastructures using both W3C and OGC standards (Wiemann and Bernard, 2016;Wiemann, 2017). Given the various subjects and heavy volume of geoscience data and the joint efforts between OGC and W3C, there could be various methods and technologies to add semantics into datasets and data services (cf.…”
Section: Discussionmentioning
confidence: 99%
“…Such knowledge bases have the potential to lead online geospatial data analysis to a finer scale. For example, a few recent studies have already begun to fuse spatial features in spatial data infrastructures using both W3C and OGC standards (Wiemann and Bernard, 2016;Wiemann, 2017). Given the various subjects and heavy volume of geoscience data and the joint efforts between OGC and W3C, there could be various methods and technologies to add semantics into datasets and data services (cf.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, flexibility and interoperability are key factors in such data integration. Hence, the use of standards is a basic requirement (Wiemann & Bernard, ). In this sense, progress on Linked Data, ontologies, and geospatial semantics (Kuhn, ) are considered in this study case, due to the fact that they provide the decisive glue between models, data, and users (Janowicz & Hitzler, ).…”
Section: A Case Study With Biodiversity Data Sourcesmentioning
confidence: 99%
“…Although SDIs and Linked Data are quite different in respect of their architectures, workflows, and applied standards, they can be regarded as complementary (Wiemann & Bernard, ). Therefore, this combination (SDI and Semantic Web) can make the data easy to find and easy to access for non‐specialist users, since geospatial data becomes integrated within the wider Web of Data.…”
Section: Introductionmentioning
confidence: 99%
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“…These linkages are widely used for updating, maintaining, and integrating spatial data (Ruiz, Ariza, Urena, & Blazquez, ). In recent years, a large amount of geographic data was voluntarily collected by citizens (Goodchild, ; Wiemann & Bernard, ). To feasibly use these data, object matching plays an important role in their quality assessment (Koukoletsos, Haklay, & Ellul, ; Neis & Zielstra, ; Senaratne, Mobasheri, Ali, Capineri, & Haklay, ).…”
Section: Introductionmentioning
confidence: 99%