DocumentCode
2705047
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
fYear
2000
fDate
2000
Firstpage
186
Lastpage
189
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2000. ICTAI 2000. Proceedings. 12th IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1082-3409
Print_ISBN
0-7695-0909-6
Type
conf
DOI
10.1109/TAI.2000.889867
Filename
889867
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