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  1. A comparison of four ontologies for the design of legal knowledge systems.Pepijn R. S. Visser & Trevor J. M. Bench-Capon - 1998 - Artificial Intelligence and Law 6 (1):27-57.
    There is a growing interest in how people conceptualise the legal domain for the purpose of legal knowledge systems. In this paper we discuss four such conceptualisations (referred to as ontologies): McCarty's language for legal discourse, Stamper's norma formalism, Valente's functional ontology of law, and the ontology of Van Kralingen and Visser. We present criteria for a comparison of the ontologies and discuss the strengths and weaknesses of the ontologies in relation to these criteria. Moreover, we critically review the criteria.
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  • Using NLP techniques to identify legal ontology components: Concepts and relations. [REVIEW]Guiraude Lame - 2004 - Artificial Intelligence and Law 12 (4):379-396.
    A method to identify ontology components is presented in this article. The method relies on Natural Language Processing (NLP) techniques to extract concepts and relations among these concepts. This method is applied in the legal field to build an ontology dedicated to information retrieval. Legal texts on which the method is performed are carefully chosen as describing and conceptualizing the legal domain. We suggest that this method can help legal ontology designers and may be used while building ontologies dedicated to (...)
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  • The unexamined assumptions of intellectual property.E. Richard Gold, Wen Adams, David Castle, Ghislaine Cleret De Langavant, L. Martin Cloutier, Abdallah S. Daar, Amy Glass, Pamela J. Smith & Louise Bernier - 2004 - Public Affairs Quarterly 18 (4):299-344.
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