- Towards a Legal Recommender System
- Frontiers in Artificial Intelligence and Applications
- Pages (from-to)
- Document type
- Faculty of Law (FdR)
- Leibniz Center for Law (FdR)
In this paper we present the results of ongoing research aimed at a legal recommender system where users of a legislative portal receive suggestions of other relevant sources of law, given a focus document. We describe how we make references in case law to legislation explicit and machine readable, and how we use this information to adapt the suggestions of other relevant sources of law. We also describe an experiment in categorizing the references in case law, both by human experts and unsupervised machine learning. Results are tested in a prototype for Immigration Law.
- go to publisher's site
- Towards a Legal Recommender System: 156718_Winkels ea 2014 final v2.pdf: Won best paper award at JURIX 2014.
Proceedings title: Legal knowledge and information systems: JURIX 2014: the twenty-seventh annual conference
Publisher: IOS Press
Place of publication: Amsterdam
Editors: R. Hoekstra
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