Research Repository

Tools for World Wide Web based legal decision support systems

Stranieri, Andrew and Yearwood, John and Zeleznikow, John (2001) Tools for World Wide Web based legal decision support systems. In: Proceedings of the 8th International Conference on Artificial Intelligence and Law. Loui, Ronald P, ed. ACM Press, pp. 206-214.

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Abstract

The majority of legal knowledge based systems (LKBS) in commercial use are rule based and target domains of law characterized by large and complex statutes where modelling discretion is not a central concern. Furthermore, to date, few LKBS execute on the World Wide Web. Despite this, LKBS designed for a web environment can make law more universally accessible and transparent. Tools required to facilitate the development of web based systems include a web based expert system shell, conceptual tools that allow for the identification of appropriate domains for web implementation, modeling tools for discretionary domains and architectures for virtual discourse. We present a shell called WebShell that uses two knowledge modelling techniques; decision trees for procedural type tasks and argument trees for tasks that are more discretionary. Rather than translate decision tree knowledge into rules for a conventional inference engine, we map the decision trees into sets we call sequence transition networks. These sets can readily be stored in relational database format in a way that simplifies the inference engine design. Although WebShell facilitates the deployment of LKBS in a web environment, it does not encourage negotiation and virtual discourse. An argumentation shell program, ArgumentDeveloper is presented that encourages participants in a virtual discursive community to understand each other's perspectives and reach decisions by consensus.

Item Type: Book Section
ISBN: 1581133685
Uncontrolled Keywords: ResPubID12245, legal knowledge based system, LKBS, boundedness, open texture, discretion, rule based reasoning, discretionary reasoning, expert system shell framework, relational database, inference engine, Java Expert System Shell, Jess, CLIPS, decision tree, WebShell, argument trees, Toulmin argument structure, TAS, generic/actual argument model, GAAM, ArgumentDeveloper
Subjects: RFCD Classification > 280000 Information, Computing and Communication Sciences
FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 0803 Computer Software
FOR Classification > 1005 Communications Technologies
FOR Classification > 1801 Law
Faculty/School/Research Centre/Department > School of Management and Information Systems
Depositing User: VUIR
Date Deposited: 20 Aug 2013 02:53
Last Modified: 20 Aug 2013 02:53
URI: http://vuir.vu.edu.au/id/eprint/10684
DOI: 10.1145/383535.383559
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