September 10, 1998
Applied Computing Research Institute, La Trobe University, AUSTRALIA
Knowledge Discovery and Machine Learning in the Legal Domain
Whilst cases are of great significance in Common Law, there has been minimal research about knowledge discovery in the legal domain. We claim for knowledge discovery to be feasible, the domain must contain an abundance of commonplace cases.
We discuss in detail a hybrid rule-based/neural network system, Split_Up which provides advice upon the distribution of property following divorce in Australia. Explanations in Split_Up are provided using the argumentation theory of Stephen Toulmin.
We also discuss an in detail evaluation of the Split Up system.