DocumentCode :
2961261
Title :
Geosemantic Web Queries on ChefMoz for Personalized Information Retrieval
Author :
Ponce-Medellin, Rafael ; Serna, Gabriel González ; Vargas, Rocío ; Ruiz-Vanoye, J.A. ; Mexicano, A. ; Cervantes, S.
Author_Institution :
Centro Nac. de Investig. y Desarrollo Tecnol., Mexico City, Mexico
fYear :
2009
fDate :
9-13 Nov. 2009
Firstpage :
185
Lastpage :
190
Abstract :
Information retrieval for geo-locatable places and services must be provided with the most according and personalized content to a user´s information request, based this on his or her spatio-temporal situation. One initiative that describes a set of geo-locable services is the Chefmoz project, in which different restaurants from the entire world are semantically described; in this paper is presented an approach that takes advantage of the information contained in Chefmoz in order to apply semantic Web technologies for the contextual and personalized query of services. In order to this, a extended version for the FOAF vocabulary which describes the personal context of a user was used. The precision and recall results for an experimental case are presented. Finally the conclusions and future work is mentioned.
Keywords :
Web services; geographic information systems; mobile computing; personal information systems; semantic Web; Chefmoz project; FOAF vocabulary; contextual query; geo-locatable places; geo-locatable services; geosemantic Web queries; personalized content; personalized information retrieval; personalized query; restaurants; semantic Web technologies; spatio-temporal situation; user information request; Artificial intelligence; Cities and towns; Context; Context-aware services; Cultural differences; Information retrieval; Mobile communication; Ontologies; Semantic Web; Vocabulary; Contextual information; FOAF; Map services; Ontologies; Semantic Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, 2009. MICAI 2009. Eighth Mexican International Conference on
Conference_Location :
Guanajuato
Print_ISBN :
978-0-7695-3933-1
Type :
conf
DOI :
10.1109/MICAI.2009.11
Filename :
5372697
Link To Document :
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