Context graphs for legal reasoning and argumentation

Rapp M, Adrian A, Kohlhase M (2020)


Publication Type: Conference contribution, Original article

Publication year: 2020

Publisher: CEUR-WS

Book Volume: 2672

Pages Range: 56-67

Conference Proceedings Title: CEUR Workshop Proceedings

Event location: Virtual, Online

Abstract

We propose a new, structured, logic-based framework for legal reasoning and argumentation: Instead of using a single, unstructured meaning space, theory graphs organize knowledge and inference into collections of modular meaning spaces organized by inheritance and interpretation. Context graphs extend theory graphs by attack relations and interpret theories as knowledge contexts of agents in argumentation. We introduce the context graph paradigm by modeling the well-studied case Popov v. Hayashi, concentrating on the role of analogical reasoning in context graphs.

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How to cite

APA:

Rapp, M., Adrian, A., & Kohlhase, M. (2020). Context graphs for legal reasoning and argumentation. In Sarah A. Gaggl, Matthias Thimm, Mauro Vallati (Eds.), CEUR Workshop Proceedings (pp. 56-67). Virtual, Online: CEUR-WS.

MLA:

Rapp, Max, Axel Adrian, and Michael Kohlhase. "Context graphs for legal reasoning and argumentation." Proceedings of the 3rd International Workshop on Systems and Algorithms for Formal Argumentation, SAFA 2020, Virtual, Online Ed. Sarah A. Gaggl, Matthias Thimm, Mauro Vallati, CEUR-WS, 2020. 56-67.

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