David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Artificial Intelligence and Law 5 (3):207-242 (1997)
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.
|Keywords||conceptual models system design ontologies|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Sylvie Despres & Sylvie Szulman (2007). Merging of Legal Micro-Ontologies From European Directives. Artificial Intelligence and Law 15 (2):187-200.
Stefania Costantini & Gaetano Aurelio Lanzarone (1995). Explanation-Based Interpretation of Open-Textured Concepts in Logical Models of Legislation. Artificial Intelligence and Law 3 (3):191-208.
Graham Greenleaf, Andrew Mowbray & Peter Dijk (1995). Representing and Using Legal Knowledge in Integrated Decision Support Systems: Datalex Workstations. [REVIEW] Artificial Intelligence and Law 3 (1-2):97-142.
Susan G. Sterrett (2006). Models of Machines and Models of Phenomena. International Studies in the Philosophy of Science 20 (1):69 – 80.
E. Pietrosanti & B. Graziadio (1999). Advanced Techniques for Legal Document Processing and Retrieval. Artificial Intelligence and Law 7 (4):341-361.
Joost Breuker, André Valente & Radboud Winkels (2004). Legal Ontologies in Knowledge Engineering and Information Management. Artificial Intelligence and Law 12 (4):241-277.
Guiraude Lame (2004). Using NLP Techniques to Identify Legal Ontology Components: Concepts and Relations. [REVIEW] Artificial Intelligence and Law 12 (4):379-396.
Pepijn R. S. Visser & Trevor J. M. Bench-Capon (1998). A Comparison of Four Ontologies for the Design of Legal Knowledge Systems. Artificial Intelligence and Law 6 (1):27-57.
T. J. M. Bench-Capon & F. P. Coenen (1992). Isomorphism and Legal Knowledge Based Systems. Artificial Intelligence and Law 1 (1):65-86.
Paul Soper & Trevor Bench-Capon (1993). Coupling Hypertext and Knowledge Based Systems: Two Applications in the Legal Domain. [REVIEW] Artificial Intelligence and Law 2 (4):293-314.
Added to index2009-01-28
Total downloads2 ( #373,409 of 1,140,392 )
Recent downloads (6 months)1 ( #140,193 of 1,140,392 )
How can I increase my downloads?