A method for conceptualising legal domains. An example from the dutch unemployment benefits act

Artificial Intelligence and Law 5 (3):207-242 (1997)
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Abstract

There has been much talk of the need to build intermediate models of the expertise required preparatory to constructing a knowledge-based system in the legal domain. Such models offer advantages for verification, validation, maintenance and reuse. As yet, however, few such models have been reported at a useful level of detail. In this paper we describe a method for conceptualising legal domains as well as its application to a substantial fragment of the Dutch Unemployment Benefits Act (DUBA).We first discuss the intermediate models (called expertise models), then present a three-stage method for their construction, drawing on the CommonKADS work in knowledge acquisition, conceptual models of statute law, and the KANT method of knowledge analysis. Subsequently, we describe how these techniques were applied to the DUBA, and provide detailed examples of the resulting model. Finally, conclusions on the framework and guidelines are given as well as means of recording and presenting the various design choices.

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Towards a general theory of action and time.James F. Allen - 1984 - Artificial Intelligence 23 (2):123-154.
Isomorphism and legal knowledge based systems.T. J. M. Bench-Capon & F. P. Coenen - 1992 - Artificial Intelligence and Law 1 (1):65-86.
Meta-rules: Reasoning about control.Randall Davis - 1980 - Artificial Intelligence 15 (3):179-222.
Normative conflicts in legal reasoning.Giovanni Sartor - 1992 - Artificial Intelligence and Law 1 (2-3):209-235.

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