Representing narrative and testimonial knowledge in sense-making software for crime analysis

Authors:
Susan W. van den Braak;Herre van Oostendorp;Henry Prakken;Gerard A. W. Vreeswijk
Affiliations:
Department of Information and Computing Sciences, Utrecht University;Department of Information and Computing Sciences, Utrecht University;Department of Information and Computing Sciences, Utrecht University and Faculty of Law, University of Groningen;Department of Information and Computing Sciences, Utrecht University
Venue:
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
Year:
2008

Citing 2
Cited 2

Embracing causality in fault reasoning

Artificial Intelligence
AVERs: an argument visualization tool for representing stories about evidence

Proceedings of the 11th international conference on Artificial intelligence and law

How much logical structure is helpful in content-based argumentation software for legal case solving?

Proceedings of the 12th International Conference on Artificial Intelligence and Law
A hybrid formal theory of arguments, stories and criminal evidence

Artificial Intelligence and Law

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the AVERs sense-making tool for crime analysis different types of information are represented in different ways. More precisely, narrative knowledge is represented in an explanatory direction and testimonial knowledge in an indicative direction. This paper shows that this distinction agrees with the preference of potential users and reduces the number of interpretation errors made by them.