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Location approximation for local search services using natural language hints / S. Schockaert in International journal of geographical information science IJGIS, vol 22 n° 3 (march 2008)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 22 n° 3 (march 2008) . - pp 315 - 336 Titre : Location approximation for local search services using natural language hints Type de document : Article/Communication Auteurs : S. Schockaert, Auteur ; M. De Cock, Auteur ; E. Kerre, Auteur Année de publication : 2008 Article en page(s) : pp 315 - 336 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] approximation [Termes IGN] géomatique web [Termes IGN] langage naturel (informatique) [Termes IGN] point d'intérêt [Termes IGN] recherche d'information géographique [Termes IGN] service fondé sur la position [Termes IGN] sous ensemble flou [Termes IGN] voisinage (relation topologique) Résumé : (Auteur) Local search services allow a user to search for businesses that satisfy a given geographical constraint. In contrast to traditional web search engines, current local search services rely heavily on static, structured data. Although this yields very accurate systems, it also implies a limited coverage, and limited support for using landmarks and neighborhood names in queries. To overcome these limitations, we propose to augment the structured information available to a local search service, based on the vast amount of unstructured and semi-structured data available on the web. This requires a computational framework to represent vague natural language information about the nearness of places, as well as the spatial extent of vague neighborhoods. In this paper, we propose such a framework based on fuzzy set theory, and show how natural language information can be translated into this framework. We provide experimental results that show the effectiveness of the proposed techniques, and demonstrate that local search based on natural language hints about the location of places with an unknown address, is feasible. Copyright Taylor & Francis Numéro de notice : A2008-142 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701626277 En ligne : https://doi.org/10.1080/13658810701626277 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29137 [article]

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