loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Authors: Tobias Milz ; Michael Granitzer and Jelena Mitrović

Affiliation: Chair of Data Science, University of Passau, Innstraße 41, 94032 Passau, Germany

Keyword(s): Legal Language Processing, NLP, Network Analysis, PageRank, Neo4j, TF-IDF, Node Similarity.

Abstract: The paper introduces the creation and analysis of a German legal citation network. The network consists of over 200.000 German court cases from all levels of appeal and jurisdiction and more than 50.000 laws. References to court decisions and laws are extracted from within the decision text of the court cases and added as links to the network. We apply network-based analysis techniques to support common legal information retrieval tasks such as identification of important court decisions and laws and case similarity searches. Furthermore, we demonstrate that the German case citation network displays scale-free behaviour, similar to that of the U.S. and Austrian Supreme Courts as shown by previous research.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.205.167.104

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Milz, T.; Granitzer, M. and Mitrović, J. (2021). Analysis of a German Legal Citation Network. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR, ISBN 978-989-758-533-3; ISSN 2184-3228, pages 147-154. DOI: 10.5220/0010650800003064

@conference{kdir21,
author={Tobias Milz. and Michael Granitzer. and Jelena Mitrović.},
title={Analysis of a German Legal Citation Network},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR,},
year={2021},
pages={147-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010650800003064},
isbn={978-989-758-533-3},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR,
TI - Analysis of a German Legal Citation Network
SN - 978-989-758-533-3
IS - 2184-3228
AU - Milz, T.
AU - Granitzer, M.
AU - Mitrović, J.
PY - 2021
SP - 147
EP - 154
DO - 10.5220/0010650800003064

0123movie.net