Generating Narratives from Provenance Relationship Chains

Abstract

Provenance data is a rich data structured source that has a similar role to narratives, since they can both provide an account of connected events. Consuming PROV data can be hard for both technical and non-technical users, because of its potential scale and the complexity of the relationships captured. Explicitly, it can be hard for users to follow and understand the chain of relationships connecting elements together. In this paper, we present a preliminary approach that generates narratives explaining chains of relationships and describe its nature with examples from a Ride Share application.