A knowledge representation architecture for the construction of stories based on interpretation and evidence

Abstract

This paper describes Stevie, a knowledge representation architecture for the analysis of complex legal cases. Stevie is targeted at legal professionals who may use it to infer stories (plausible and consistent reconstructions of courses of events) from evidence and hypotheses. Stevie is based on known argument ontologies and argumentation logics.