Representing and using legal knowledge in integrated decision support systems: DataLex WorkStations |
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| Authors: | Graham Greenleaf Andrew Mowbray Peter van Dijk |
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| Affiliation: | (1) University of New South Wales Sydney, 2052, Australia;(2) University of Technology, Broadway 2007, Sydney, Australia;(3) University of Technology, Broadway 2007, Sydney, Australia |
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| Abstract: | There is more to legal knowledge representation than knowledge-bases. It is valuable to look at legal knowledge representation and its implementation across the entire domain of  computerisation of law , rather than focussing on sub-domains such as legal expert systems. The DataLex WorkStation software and applications developed using it are used to provide examples. Effective integration of inferencing, hypertext and text retrieval can overcome some of the limitations of these current paradigms of legal computerisation which are apparent when they are used on a stand-alone basis. Effective integration of inferencing systems is facilitated by use of a (quasi) natural language knowledge representation, and the benefits of isomorphism are enhanced. These advantages of integration apply to all forms of inferencing, including document generation and casebased inferencing. Some principles for development of integrated legal decision support systems are proposed. |
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| Keywords: | integrated natural language hypertext document assembly knowledge representation expert system text retrieval |
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