Un armazón para el desarrollo de aplicaciones de narración automática basado en componentes ontológicos reutilizables

Abstract

Computers have been used as a medium for narrative expression since decades. Computer Science has developed powerful technologies for narrative information processing, allowing us to store, organize, modify and reproduce every kind of content. Story generation is one of those tasks and its automatization is part of that big long-term project which is called Artificial Intelligent. In this work theoretical bases of automatic storytelling are studied, reviewing different methodologies and technologies involved in its development and analyzing up-to-date results documented in the scientific literature. This work of thesis tries to establishing a more solid and suitable framework for the development of automatic storytelling applications. Goals are created about those problems that affect more seriously to the organization, modularization and reusability of two basic elements: on one hand, the knowledge needed to represent stories in the computer, on the other hand, processes able to manipulate that knowledge in order to generate stories