Integrating geographical information in the Linked Digital Earth

Vilches‐Blázquez, Luis M.; Villazón-Terrazas, Boris; Corcho, Óscar; Gómez-Pérez, Asuncíon

doi:10.1080/17538947.2013.783127

Cited by 34 publications

(18 citation statements)

References 16 publications

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“…Besides, these results (data and developed tools) are freely available for the (geospatial) community. In short, these benefits help to facilitate reusing this information, allowing the public to use these data in new and innovative ways, improving the application of geospatial data, and increasing the geo(biodiversity) knowledge available to society (Vilches‐Blázquez et al, ). However, additional challenges remain in this work for trying to bridge SDI and Linked Data, such as supporting other OGC Web services (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…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%

“…We recommend performing this transformation process by using, reusing, or developing ontologies, although Linked Data can be generated with or without the use of a specific vocabulary, since just transforming data to RDF does not incorporate any semantics, as pointed out by Jain, Hitzler, Yeh, Verma, and Sheth (). Moreover, adding ontologies in this process allows making explicit the meaning of concepts in the datasets used, creating a harmonized model for the considered datasets (using common and shared vocabularies) and making it easier to search and access geospatial information (Vilches‐Blázquez et al, ).…”

Section: A Framework For Generating Enriching and Exploiting Linkedmentioning

confidence: 99%

“…The final goal of connecting and opening these data is that users can use semantics tools and SDI technologies in a coordinated way to search, analyze, visualize, or absorb programmatically the whole data available. Therefore, applications deployment on top of the generated (geo)biodiversity Linked Data is required to exploit these data and provide rich GUIs to users (Vilches‐Blázquez et al, ). There are several tools available for exploiting geospatial Linked Data through graphical interfaces such as LOD4WFS (https://github.com/jimjonesbr/iod4wfs) (Jones et al, ), Sextant (https://sextant.di.uoa.gr/) (Nikolaou et al, ), Map4RDF (https://oeg-upm.github.io/map4rdf/) (Llaves, Corcho, & Fernandez‐Carrera, ), LinkedGeoData Browser (browser.inkedgeodata.org), OsOpenSpace (https://www.ordnancesurvey.co.uk/business-and-government/products/os-openspace/), or Mappify (https://github.com/GeoKnow/Mappify) (Lehmann et al, ).…”

Section: A Framework For Generating Enriching and Exploiting Linkedmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

Section: A Framework For Generating Enriching and Exploiting Linkedmentioning

confidence: 99%

Section: A Framework For Generating Enriching and Exploiting Linkedmentioning

confidence: 99%

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

Vilches‐Blázquez

Saavedra

2018

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“…In related work, Vilches-Blázquez et al (2014) developed a process to generate, integrate and publish geospatial linked data from several national data sets. Yu and Liu (2015) present another example applied to heterogeneous observation data in the Sensor Web.…”

Section: Related Workmentioning

confidence: 99%

Semantic Metadata for Heterogeneous Spatial Planning Documents

Iwaniak

Kaczmarek

Łukowicz

et al. 2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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KEY WORDS: semantic web, urban planning, metadata, land management, spatial development plan ABSTRACT:Spatial planning documents contain information about the principles and rights of land use in different zones of a local authority. They are the basis for administrative decision making in support of sustainable development. In Poland these documents are published on the Web according to a prescribed non-extendable XML schema, designed for optimum presentation to humans in HTML web pages. There is no document standard, and limited functionality exists for adding references to external resources. The text in these documents is discoverable and searchable by general-purpose web search engines, but the semantics of the content cannot be discovered or queried. The spatial information in these documents is geographically referenced but not machine-readable. Major manual efforts are required to integrate such heterogeneous spatial planning documents from various local authorities for analysis, scenario planning and decision support. This article presents results of an implementation using machine-readable semantic metadata to identify relationships among regulations in the text, spatial objects in the drawings and links to external resources. A spatial planning ontology was used to annotate different sections of spatial planning documents with semantic metadata in the Resource Description Framework in Attributes (RDFa). The semantic interpretation of the content, links between document elements and links to external resources were embedded in XHTML pages. An example and use case from the spatial planning domain in Poland is presented to evaluate its efficiency and applicability. The solution enables the automated integration of spatial planning documents from multiple local authorities to assist decision makers with understanding and interpreting spatial planning information. The approach is equally applicable to legal documents from other countries and domains, such as cultural heritage and environmental management.

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