Centre de documentation
scientifique

Enriching and improving the quality of linked data with GIS / Adam Iwaniak in Open geosciences, vol 8 n° 1 (January - July 2016)  

Public [article]  inOpen geosciences > vol 8 n° 1 (January - July 2016) . - pp 323 - 336 Titre : Enriching and improving the quality of linked data with GIS Type de document : Article/Communication Auteurs : Adam Iwaniak, Auteur ; Iwona Kaczmarek, Auteur ; Marek Strzelecki, Auteur ; Jaromar Lukowicz, Auteur ; Piotr Jankowski, Auteur Année de publication : 2016 Article en page(s) : pp 323 - 336 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] intégration de données [Termes IGN] OpenStreetMap [Termes IGN] système d'information géographique [Termes IGN] web des données [Termes IGN] web sémantique Résumé : (auteur) Standardization of methods for data exchange in GIS has along history predating the creation of World Wide Web. The advent of World Wide Web brought the emergence of new solutions for data exchange and sharing including; more recently, standards proposed by the W3C for data exchange involving Semantic Web technologies and linked data. Despite the growing interest in integration, GIS and linked data are still two separate paradigms for describing and publishing spatial data on the Web. At the same time, both paradigms offer complementary ways of representing real world phenomena and means of analysis using different processing functions. The complementarity of linked data and GIS can be leveraged to synergize both paradigms resulting in richer data content and more powerful inferencing. The article presents an approach aimed at integrating linked data with GIS. The approach relies on the use of GIS tools for integration, verification and enrichment of linked data. The GIS tools are employed to enrich linked data by furnishing access to collection of data resources, defining relationship between data resources, and subsequently facilitating GIS data integration with linked data. The proposed approach is demonstrated with examples using data from DBpedia, OSM, and tools developed by the authors for standard GIS software. Numéro de notice : a2016--068 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1515/geo-2016-0020 En ligne : https://doi.org/10.1515/geo-2016-0020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84414 [article]