Sistema de recomendación de contenido para TV digital basado en ontologías

Abstract

The great developments in the technological area and especially in the area of the Digital Television have generated new researching lines, and this thesis is an example of that. This work presents a helping tool for Digital Television users providing the fastest way to get information about the programs they observe and which they like. However, the actual problem occurs since the Digital Television broadcasters not always give enough information to users about the programs, which is a problem because they use other information sources wasting worthy time. A solution to that problem is developed in this work, since the television and the huge and available information in the internet are integrated by using semantic technologies in order to let users get a complete information about the programs they want to know. Especially this thesis looks for enriching extra information about the programs transmitted by the different television channels by using the semantic web methods and techniques to get helpful information from ontological and no ontological repositories. The final result will be an ontological data base containing detailed program information.