Controlling and augmenting legal inferencing: ysh, a case study

Authors:
Graham Greenleaf;Andrew Mowbray
Affiliations:
-;-
Venue:
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Year:
1993

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Abstract

If legal inferencing systems are to be used for immediate practical application, they are best constructed by embedding them in other technologies which can assist in augmenting and controlling the course of inferencing. Adoption of a (quasi) natural language knowledge representation assists easier development of user interpretative facilities, user control of the course of inferencing and explanation facilities. The paper explains how the DataLex Workstation Software, particularly its inference engine, ysh, implements these approaches.