Personalized touristic routes implementing semantic web on GIS

Nowadays, when a user is planning a touristic route is very difficult to find out which are the best places to visit. The user has to choose considering his/her preferences due to the great quantity of information it is possible to find in the web and taking into account it is necessary to do a selection, within small time because there is a limited time to do a trip. In Itiner@ project, we aim to implement Semantic Web technology combined with Geographic Information Systems in order to offer personalized touristic routes around a region based on user preferences and time situation. Using ontologies it is possible to link, structure, share data and obtain the result more suitable for user's preferences and actual situation with less time and more precisely than without ontologies. To achieve these objectives we propose a web page combining a GIS server and a touristic ontology. As a step further, we also study how to extend this technology on mobile devices due to the raising interest and technological progress of these devices and location-based services, which allows the user to have all the route information on the hand when he/she does a touristic trip. We design a little application in order to apply the combination of GIS and Semantic Web in a mobile device.

Ciencia 2.0 : aplicación de la web social a la investigación

REBIUN study on Science 2.0 and social web applications for research. There are three categories: share research, share resources and share results. Describes the applications and selected resources of interest: scientific social networks, scientific databases, research platforms, surveys, concept maps, file sharing, bibliographic management, social bookmarking, citation indexes, blogs and wikis, science news, open access. The services are evaluated and the report describes his interest to libraries.

Loulou Services

Análisis, diseño, implementación, prueba y documentación de una aplicación web para gestionar la búsqueda y selección de personal doméstico y administrar los servicios de limpieza contratados por los clientes de MasVidaRed.

A conceptual model for grid learning services automatic composition

Peer-reviewed