Computational narratives using Model-Driven Engineering

Computational narratives embed data and the computations that process and visualize that data into a story. They introduce some challenges, such as they need to be structured to be easily adapted to a wide range of audiences and contexts, e.g., different technologies providing visual elements for communication. Model-Driven Engineering (MDE) is a paradigm that proposes the specification of models of a specific domain and transformations between them with many purposes. This work aims to analyze computational narratives from the perspective of MDE to address their challenges. We propose a narrative metamodel based on an existing conceptual model, and we explore the definition of model transformations for converting narrative models into HTML and Jupyter documents. We also exemplify the MDE approach using a real-life narrative referring to COVID-19 and provide some ideas for future research lines