Computational system for narratives with a concern for truth

Narratives and interactive narratives have been investigated for the relationship with truth. This is especially relevant with non-fictional narrative and is crucial in knowledge transfer and historical research, where storyteller and expert roles interact (also within the same person) to deliver the truth to the reader/user. In a computational system for narrative, this account can be addressed formally with the tools provided by Semantic Web initiative, which promises an interconnected web of knowledge, with truthful facts expressed in logic terms and automatic reasoners that can contribute to the authoring and delivering of narratives. In this paper, we propose a software architecture that implements a connection between the narrative and the knowledge components, the latter encoded in formal terms. As a proof of concept, we address narratives for historical research, with interconnected linear stories augmented with semantic labels that form a conceptual network. We eventually broaden our view by surveying approaches that have used knowledge representation in a storytelling architecture.