Cross-lingual legal information retrieval using a WordNet architecture
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Understanding the law: a method for legal knowledge dissemination
Proceedings of the 11th international conference on Artificial intelligence and law
Toward measures of complexity in legal systems
Proceedings of the 11th international conference on Artificial intelligence and law
A two-level knowledge approach to support multilingual legislative drafting
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
Artificial Intelligence and Law
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Access to legal documents has been hampered by the lack of attention for specific user groups accessing such documents. In this article, we focus on one of these user groups (legal professionals), who can benefit from specific types of cross-lingual information retrieval for, e.g., comparative law research. We propose to use legal definitions as anchor points in legal documents. Through the body of EU legislation, these anchor points can support a network of concepts between different jurisdictions. A model is presented containing the different entity types and relations types for building such a network, which can be implemented in the WordNet architecture.