Generador Semiautomático de Mapas Contextuales Interactivos en 2D y Grafo de Rutas Transitables Door-to-Door a partir de Modelos Semánticos Organizacionales

Location Based Services (LBS) are applications that provide Users recommendations about services available based on the user's location. Location in this kind of systems is provided mainly through the use of geographic maps that currently have been focusing primarily in outdoor environments but nowadays are gradually moving towards indoor environments like malls, museums, public buildings and others.Among this kind of systems We found Context Aware Recommendation Systems (CARS), which provide recommendations to users based on their context information, this context information may consist on user's location, changes on the environment, date and time of the day and any other relevant information for the interaction between users and the System, whereupon it is possible to characterize the state of the individual entities that interact with the System and the user, as well as the relationships between these entities, given as a result the possibility to provide more accurate recommendations to the user.This thesis project focuses on indoor environments, here it is presented a system that allows the creation of draft maps for indoor environments making use of emerging technologies like Scalable Vector Graphics (SVG) and ontology models, which allows to add contextual information related with the infrastructure of this type of environments. Additionally, it is presented an algorithm that allows to find all passable routes in generated maps, which can be used to provide navigation services in a Contextual Recommender System.