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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/80192

    Título
    Pioneering easy-to-use forestry data with Forest Explorer
    Autor
    Vega Gorgojo, GuillermoAutoridad UVA Orcid
    Giménez García, José Miguel
    Ordoñez Alonso, Ángel CristobalAutoridad UVA Orcid
    Bravo Oviedo, FelipeAutoridad UVA Orcid
    Año del Documento
    2022
    Descripción
    Producción Científica
    Documento Fuente
    Semantic Web 13(2):147-162, 2022
    Resumo
    Forest Explorer is a web tool that can be used to easily browse the contents of the Cross-Forest dataset, a Linked Open Data resource containing the forestry inventory and land cover map from Spain. The tool is purposed for domain experts and lay users to facilitate the exploration of forestry data. Since these two groups are not knowledgable on Semantic Web, the user interface is designed to hide the complexity of RDF, OWL or SPARQL. An interactive map is provided for this purpose, allowing users to navigate to the area of interest and presenting forestry data with different levels of detail according to the zoom level. Forest Explorer offers different filter controls and is localized to English and Spanish. All the data is retrieved from the Cross-Forest and DBpedia endpoints through the Data manager. This component feeds the different Feature managers with the data needed to be displayed in the map. The Data manager uses a reduced set of SPARQL templates to accommodate any data request of the Feature managers. Caching and smart geographic querying are employed to limit data exchanges with the endpoint. A live version of the tool is freely available for everybody that wants to try it – any device with a modern browser should be sufficient to test it. Since December 2019, more than 3,200 users have employed Forest Explorer and it has appeared 12 times in the Spanish media. Results from a user study with 28 participants (mainly domain experts) show that Forest Explorer can be used to easily navigate the contents of the Cross-Forest dataset. No important limitations were found, only feature requests such as the integration of new datasets from other countries that are part of our future work.
    ISSN
    1570-0844
    Revisión por pares
    SI
    DOI
    10.3233/SW-210430
    Patrocinador
    This work has been partially funded by the European Commission through Cross-Forest (2017-EU-IA-0140) and Spanish Ministry of Science and Innovation through REFORM (PCIN-2017-027, ERANET SUMFOREST) projects.
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/80192
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    Universidad de Valladolid

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