A Comparison of Four Ontologies for the Design of Legal Knowledge Systems ?
Artificial Intelligence and Law 6: 27–57, 1998. 27 © 1998 Kluwer Academic Publishers. Printed in the Netherlands. A Comparison of Four Ontologies for the Design of Legal Knowledge Systems ? PEPIJN R. S. VISSER and TREVOR J. M. BENCH-CAPON LIAL – Legal Informatics at Liverpool, Department of Computer Science, University of Liverpool, P.O. Box 147, Liverpool, L69 7ZF, United Kingdom, (+44) 151 - 794 3792, E-mail: {pepijn, tbc}@csc.liv.ac.uk Abstract. 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 on- tologies): 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. 1. Introduction In the Oxford dictionary the word ontology is defined as the branch of metaphysics dealing with the nature of being (Allen, 1990). The word ontology is used in AI research as well, although its meaning in the latter field is only remotely related to the original metaphysical meaning of the word†. In the latter field, ontologies are loosely defined as ‘explicit conceptualisations of a domain’ (Gruber, 1992). Recently the results of gathering explicit conceptualisations of knowledge-system domains has been recognised as a valuable effort in its own right, deserving of widespread attention (e.g., Wiederhold, 1994, p. 7). This trend can also be seen in the legal domain, for instance, Moles and Dayal argue that researchers in the field of AI and Law should study the (implicit) ‘assumptions being made about the nature of law’ (Moles & Dayal, 1992, p.
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