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Reference data enhancement for geographic information retrieval using linked data / Tiago H. V. M. Moura in Transactions in GIS, vol 21 n° 4 (August 2017)  

Public [article]  inTransactions in GIS > vol 21 n° 4 (August 2017) . - pp 683 - 700 Titre : Reference data enhancement for geographic information retrieval using linked data Type de document : Article/Communication Auteurs : Tiago H. V. M. Moura, Auteur ; Clodoveu A. Davis Jr., Auteur ; Frederico T. Fonseca, Auteur Année de publication : 2017 Article en page(s) : pp 683 - 700 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] base de connaissances [Termes IGN] recherche d'information géographique [Termes IGN] relation sémantique [Termes IGN] répertoire toponymique [Termes IGN] service web [Termes IGN] web des données Résumé : (Auteur) Gazetteers are instrumental in recognizing place names in documents such as Web pages, news, and social media messages. However, creating and maintaining gazetteers is still a complex task. Even though some online gazetteers provide rich sets of geographic names in planetary scale (e.g. GeoNames), other sources must be used to recognize references to urban locations, such as street names, neighborhood names or landmarks. We propose integrating Linked Data sources to create a gazetteer that combines a broad coverage of places with urban detail, including content on geographic and semantic relationships involving places, their multiple names and related non-geographic entities. Our final goal is to expand the possibilities for recognizing, disambiguating and filtering references to places in texts for geographic information retrieval (GIR) and related applications. The resulting ontological gazetteer, named LoG (Linked OntoGazetteer), is accessible through Web services by applications and research initiatives on GIR, text processing, named entity recognition and others. The gazetteer currently contains over 13 million places, 140 million attributes and relationships, and 4.5 million non-geographic entities. Data sources include GeoNames, Freebase, DBPedia and LinkedGeoData, which is based on OpenStreetMap data. An analysis on how these datasets overlap and complement one another is also presented. Numéro de notice : A2017-628 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12238 En ligne : http://dx.doi.org/10.1111/tgis.12238 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86943 [article]