Geosemantic Web Queries on ChefMoz for Personalized Information Retrieval

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.