Analysis of a German Legal Citation Network

Tobias Milz; Michael Granitzer; Jelena Mitrović

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Paper

Analysis of a German Legal Citation Network

Topics: Data Analytics; Information Extraction; Knowledge Discovery in Databases; Mining Text and Semi-Structured Data; Natural Language Understanding; Visual Data Mining and Data Visualization

In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 0IC3K, 147-154, 2021

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.

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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 (IC3K 2021) - KDIR; ISBN 978-989-758-533-3; ISSN 2184-3228, SciTePress, 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 (IC3K 2021) - 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 (IC3K 2021) - 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
PB - SciTePress