Developing a Software Reference Architecture for Journalistic Knowledge Platforms

Abstract

For news organizations to survive and thrive in today’s media landscape, they must utilize big data and artificial intelligence technologies effectively. News organizations that want to exploit techniques like machine learning and knowledge graphs for big data may manage to use them independently, but struggle to get everything to work together. A software reference architecture would help by providing a generic blueprint and capturing the tried-and-tested best practices for designing and implementing concrete solutions but, to the best of our knowledge, no suitable architecture has been proposed. This paper therefore outlines a software reference architecture for digitalization of newsrooms, along with a proof-of-concept of the architecture.