Design and development of linked data from The National Map

Usery, E. Lynn; Varanka, Dalia E.

doi:10.3233/sw-2011-0054

Cited by 23 publications

(11 citation statements)

References 27 publications

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“…The fact that different projects use different RDF stores also renders the aim of this study necessary [25]. In the US, several geospatial linked data projects have been conducted: a pilot of design and development of linked data from The National Map was performed [26]; the Geographic Names Information System was served as linked data, and its geospatial visualization was enabled [20]; the GeoLink knowledge graph was published following linked data principles and served through a SPARQL endpoint, including Earth Science information captured by oceanographic cruises, physical sample metadata, etc. [27].…”

Section: Geospatial Semantic Web and Linked Datamentioning

confidence: 99%

Assessment and Benchmarking of Spatially Enabled RDF Stores for the Next Generation of Spatial Data Infrastructure

Huang

Raza

Mirzov

et al. 2019

IJGI

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Geospatial information is indispensable for various real-world applications and is thus a prominent part of today’s data science landscape. Geospatial data is primarily maintained and disseminated through spatial data infrastructures (SDIs). However, current SDIs are facing challenges in terms of data integration and semantic heterogeneity because of their partially siloed data organization. In this context, linked data provides a promising means to unravel these challenges, and it is seen as one of the key factors moving SDIs toward the next generation. In this study, we investigate the technical environment of the support for geospatial linked data by assessing and benchmarking some popular and well-known spatially enabled RDF stores (RDF4J, GeoSPARQL-Jena, Virtuoso, Stardog, and GraphDB), with a focus on GeoSPARQL compliance and query performance. The tests were performed in two different scenarios. In the first scenario, geospatial data forms a part of a large-scale data infrastructure and is integrated with other types of data. In this scenario, we used ICOS Carbon Portal’s metadata—a real-world Earth Science linked data infrastructure. In the second scenario, we benchmarked the RDF stores in a dedicated SDI environment that contains purely geospatial data, and we used geospatial datasets with both crowd-sourced and authoritative data (the same test data used in a previous benchmark study, the Geographica benchmark). The assessment and benchmarking results demonstrate that the GeoSPARQL compliance of the RDF stores has encouragingly advanced in the last several years. The query performances are generally acceptable, and spatial indexing is imperative when handling a large number of geospatial objects. Nevertheless, query correctness remains a challenge for cross-database interoperability. In conclusion, the results indicate that the spatial capacity of the RDF stores has become increasingly mature, which could benefit the development of future SDIs.

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Section: Geospatial Semantic Web and Linked Datamentioning

confidence: 99%

Assessment and Benchmarking of Spatially Enabled RDF Stores for the Next Generation of Spatial Data Infrastructure

Huang

Raza

Mirzov

et al. 2019

IJGI

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“…Nevertheless, there have already been several attempts research projects attempting to solve this issue. For example, there is a methodology that builds vector objects using image segmentation and then creates RDF for vector objects [59]. This workaround is arguably not a complete solution to represent raster files in RDF as it still does not represent raster geometry in RDF.…”

Section: Raster Datamentioning

confidence: 99%

A Survey of Geospatial Semantic Web for Cultural Heritage

2019

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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 heritage data, backed by non-standardized search interfaces, which thwart users’ attempts to contextualize information from distributed repositories. A recently introduced geospatial semantic web is being adopted by a great many new and existing digital cultural heritage repositories to overcome these challenges. However, no one has yet conducted a conceptual survey of the geospatial semantic web concepts for a cultural heritage audience. A conceptual survey of these concepts pertinent to the cultural heritage field is, therefore, needed. Such a survey equips cultural heritage professionals and practitioners with an overview of all the necessary tools, and free and open source semantic web and geospatial semantic web platforms that can be used to implement geospatial semantic web-based cultural heritage repositories. Hence, this article surveys the state-of-the-art geospatial semantic web concepts, which are pertinent to the cultural heritage field. It then proposes a framework to turn geospatial cultural heritage data into machine-readable and processable resource description framework (RDF) data to use in the geospatial semantic web, with a case study to demonstrate its applicability. Furthermore, it outlines key free and open source semantic web and geospatial semantic platforms for cultural heritage institutions. In addition, it examines leading cultural heritage projects employing the geospatial semantic web. Finally, the article discusses attributes of the geospatial semantic web that require more attention, that can result in generating new ideas and research questions for both the geospatial semantic web and cultural heritage fields.

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“…Several works have contributed to provide geospatial context to the Web of Data. Thus, different proposals appear in the state‐of‐the‐art associated with geospatial reference data (Varanka, ; Auer et al, ; Goodwin et al, ; Battle & Kolas, ; Usery & Varanka, ; GADM‐RDF (https://gadm.geovocab.org/); Feliachi, Abadie, Hamdi, & Atemezing, ; Athanasiou, Giannopoulos, Garcia‐Rojas, & Le Grange, ; Koubarakis et al, ; Vilches‐Blázquez, Villazón‐Terrazas, Corcho, & Gómez‐Pérez, ; Lehmann et al, ), sensor data (Barnaghi, Presser, & Moessner, ; Patni, Henson, & Sheth, ), and geospatial provenance (Celino, ; Yuan, Yue, Gong, & Zhang, ).…”

Section: Background and Related Workmentioning

confidence: 99%

“…Schade and Cox () present a proposal for transforming GML to RDF and for extending data types offered through WFS to other types, such as GML, RDF, and HTML. Usery and Varanka () describe a conversion from vector and raster data to RDF. The authors encode vector data in GML format, by means of pre‐computing of topological relations, and then convert them into RDF triples.…”

Section: Background and Related Workmentioning

confidence: 99%

A framework for connecting two interoperability universes: OGC Web Feature Services and Linked Data

Vilches‐Blázquez

Saavedra

2018

Transactions in GIS

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Diverse studies have shown that about 80% of all available data are related to a spatial location. Most of these geospatial data are available as structured and semi-structured datasets, and often use distinct data models, are encoded using ad-hoc vocabularies, and sometimes are being published in non-standard formats. Hence, these data are isolated within silos and cannot be shared and integrated across organizations and communities. Spatial Data Infrastructures (SDIs) have emerged and contributed to significantly enhance data discovery and accessibility based on OGC (Open Geospatial Consortium) Web services. However, finding, accessing, and using data disseminated through SDIs are still difficult for non-expert users.Overcoming the current geospatial data challenges involves adopting the best practices to expose, share, and integrate data on the Web, that is, Linked Data. In this article, we have developed a framework for generating, enriching, and exploiting geospatial Linked Data from multiple and heterogeneous geospatial data sources. This proposal allows connecting two interoperability universes (SDIs, more specifically Web Feature Services, WFS, and Semantic Web technologies), which is evaluated through a study case in the (geo)biodiversity domain. | 23VILCHES-BLÁZQUEZ and SAAVEDRA

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Design and development of linked data from The National Map

Cited by 23 publications

References 27 publications

Assessment and Benchmarking of Spatially Enabled RDF Stores for the Next Generation of Spatial Data Infrastructure

Assessment and Benchmarking of Spatially Enabled RDF Stores for the Next Generation of Spatial Data Infrastructure

A Survey of Geospatial Semantic Web for Cultural Heritage

A framework for connecting two interoperability universes: OGC Web Feature Services and Linked Data

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