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International Journal of Law and Information Technology Advance Access originally published online on December 19, 2006
International Journal of Law and Information Technology 2007 15(3):299-319; doi:10.1093/ijlit/eal023
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International Journal of Law and Information Technology Vol. 15 No. 3 © Oxford University Press 2006; all rights reserved

A Knowledge Representation Model for the Intelligent Retrieval of Legal Cases

Yiming Zeng1, Ruili Wang2, John Zeleznikow3 and Elizabeth Kemp4

1 Institute of Information Sciences and Technology, Massey University, New Zealand E-mail: y.zeng{at}massey.ac.nz

2 Institute of Information Sciences and Technology, Massey University, New Zealand E-mail: r.wang{at}massey.ac.nz (corresponding author).

3 School of Information Systems, Victoria University, Australia E-mail: john.zeleznikow{at}vu.edu.au

4 Institute of Information Sciences and Technology, Massey University, New Zealand E-mail: e.kemp{at}massey.ac.nz


  Abstract

In this paper, we develop a knowledge representation model for the innovative intelligent retrieval of legal cases, which provides effective legal case management. Examples are taken from the domain of accident compensation. A new set of sub-elements for legal case representation (sub-issues, pro-claimant, pro-respondent and contextual features) has been developed to extend the traditional representation elements of issues and factors. In our representation model, an issue may need to be further decomposed into sub-issues; factors are categorised into pro-claimant and pro-respondent factors; and contextual features are also introduced to help retrieval. These extensions can effectively reveal the factual relevance between legal cases. Based on the knowledge representation model, we propose the IPF scheme for intelligent legal case retrieval. Experiment and statistical analysis have been conducted to demonstrate the effectiveness of the proposed representation model and retrieval scheme.

Key Words: Key words: legal case retrieval • case representation elements • legal knowledge representation • accident compensation


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