Title :
Tools for intelligent decision support system development in the legal domain
Author :
Stranieri, Andrew ; Zeleznikow, John
Author_Institution :
Lab. for Inf. Technol. & Law, La Trobe Univ., Bundoora, Vic., Australia
Abstract :
We describe tools that are particularly suited to the development of knowledge based systems in the domain of law. The first tool is a conceptual model that supports the categorization of legal tasks. Once categorized, tasks can be mapped onto to the most appropriate artificial reasoning model (if any) for computer based implementation. This scheme is based on theoretical and cultural perspectives that have currency in the legal domain yet may have less relevance in other domains. The second tool, which we call the sequenced transition network, involves reducing the involvement of a knowledge engineer so that domain experts can more easily develop and maintain their own knowledge bases
Keywords :
case-based reasoning; decision support systems; knowledge based systems; law administration; artificial reasoning model; conceptual model; cultural perspectives; domain experts; intelligent decision support system development tools; knowledge bases; knowledge engineer; law; legal domain; legal task categorization; sequenced transition network; Appropriate technology; Decision support systems; Diagnostic expert systems; Gold; Intelligent systems; Knowledge based systems; Laboratories; Law; Legal factors; Taxonomy;
Conference_Titel :
Tools with Artificial Intelligence, 2000. ICTAI 2000. Proceedings. 12th IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-0909-6
DOI :
10.1109/TAI.2000.889867