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Auteur S Yu |
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A knowledge infrastructure for intelligent query answering in Location-based Services / S Yu in Geoinformatica, vol 14 n° 3 (July 2010)
[article]
Titre : A knowledge infrastructure for intelligent query answering in Location-based Services Type de document : Article/Communication Auteurs : S Yu, Auteur ; Stefano Spaccapietra, Auteur Année de publication : 2010 Article en page(s) : pp 379 - 404 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] base de connaissances
[Termes IGN] gestion des connaissances (organisation)
[Termes IGN] infrastructure
[Termes IGN] mobilité humaine
[Termes IGN] ontologie
[Termes IGN] requête spatiale
[Termes IGN] service fondé sur la position
[Termes IGN] utilisateurRésumé : (Auteur) Intelligent query answering in Location-based Services refers to their capability to provide mobile users with personalized and contextualized answers. Personalization is expected to lead to answers that better match user’s interests, as inferable from the user’s profile. Contextualization aims at not selecting answers that for some reason would not be appropriate at the time and place of the user query. These goals are beyond the current state of art in LBS, or are provided based on ad hoc solutions specific to the application at hand. This paper reports on the results of an investigation aiming at defining the knowledge infrastructure that should be developed within the LBS to make it capable of returning intelligent answers. We first discuss the data management features that make LBS different from other query answering systems. Next we propose a data infrastructure that builds on the idea of modular ontologies. We explain how the relevant knowledge may be incrementally set up and dynamically maintained based on an application-independent approach. Last we show how this knowledge is used to reformulate user’s queries via personalized and contextualized rewriting. Numéro de notice : A2010-106 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1007/s10707-010-0105-4 Date de publication en ligne : 21/01/2010 En ligne : https://doi.org/10.1007/s10707-010-0105-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30302
in Geoinformatica > vol 14 n° 3 (July 2010) . - pp 379 - 404[article]Exemplaires(1)
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