Identification of Case Content with Quantitative Network Analysis: An Example from the ECtHR

Martin Lolle Christensen; Henrik Palmer Olsen; Fabian Tarissan

doi:10.3233/978-1-61499-726-9-53

Identification of Case Content with Quantitative Network Analysis: An Example from the ECtHR

Martin Lolle Christensen, Henrik Palmer Olsen, Fabian Tarissan

Centre of Excellence for International Courts and Governance

3 Citationer (Scopus)

Abstract

What is a case decided by the European Court of Human Rights about? The Courts own case database, HUDOC, lists all the articles mentioned in a specific case in their metadata. They also supply a number of keywords, but these keywords for the most part are reduced to repeating phrases from the relevant articles. In order to enhance information retrieval about case content, without relying on manual labor and subjective judgment, we propose in this paper a quantitative method that gives a better indication of case content in terms of which articles a given case is more closely associated with. To do so, we rely on the network structure induced by existing case-to-case and case-to-article citations and propose two computational approaches (referred to as MAININ and MAINOUT) which result in assigning one representative article to each case. We validate the approach by selecting a sample of important cases and comparing manual investigation of real content of those cases with the MAININ and MAINOUT articles. Results show that MAININ in particular is able to infer correctly the real content in most of the cases.

Originalsprog	Engelsk
Titel	Legal Knowledge and Information Systems
Redaktører	Floris Bex, Serena Villata
Antal sider	10
Udgivelsessted	Amsterdam
Forlag	IOS Press
Publikationsdato	2016
Sider	53-62
ISBN (Trykt)	978-1-61499-725-2
ISBN (Elektronisk)	978-1-61499-726-9
DOI	https://doi.org/10.3233/978-1-61499-726-9-53
Status	Udgivet - 2016
Begivenhed	JURIX: Law, Artificial Intelligence and Information Systems - Inria Sophia Antipolis Mediterranean, Valbonne, Frankrig Varighed: 14 dec. 2016 → 16 dec. 2016 Konferencens nummer: XXIX http://jurix2016.unice.fr/

Konference

Konference	JURIX
Nummer	XXIX
Lokation	Inria Sophia Antipolis Mediterranean
Land/Område	Frankrig
By	Valbonne
Periode	14/12/2016 → 16/12/2016
Internetadresse	http://jurix2016.unice.fr/

Adgang til dokumentet

10.3233/978-1-61499-726-9-53

http://ebooks.iospress.nl/volumearticle/45736

Citationsformater

Identification of Case Content with Quantitative Network Analysis: An Example from the ECtHR. / Christensen, Martin Lolle; Olsen, Henrik Palmer; Tarissan, Fabian.
Legal Knowledge and Information Systems. red. / Floris Bex; Serena Villata. Amsterdam: IOS Press, 2016. s. 53-62.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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