Intelligent Jurisprudence Research (IJR) is a concept that consists in performing jurisprudence research with a computational tool that employs Artificial Intelligence (AI) techniques. Jurisprudence research is the search employed by judicial professionals when seeking for past legal situations that may be useful to a legal activity. When humans perform jurisprudence research, they employ analogical reasoning in comparing a given actual situation with past decisions, noting the affinities between them. In the process of remembering a similar situation when faced to a new one, Case-Based Reasoning (CBR) systems simulate analogical reasoning. Therefore, CBR is an appropriate technology to deal with the chosen problem.
[1]
Janet L. Kolodner,et al.
Case-Based Reasoning
,
1988,
IJCAI 1989.
[2]
Alejandro Martins,et al.
A Large Case-Based Reasoner for Legal Cases
,
1997,
ICCBR.
[3]
Gobinda G. Chowdhury,et al.
Automatic extraction of citations from the text of English-language patents - an example of template mining
,
1996,
J. Inf. Sci..
[4]
M. E. Maron,et al.
An evaluation of retrieval effectiveness for a full-text document-retrieval system
,
1985,
CACM.
[5]
James C. Lester,et al.
Justification Structures for Document Reuse
,
1996,
EWCBR.
[6]
Gerard Salton,et al.
Dynamic information and library processing
,
1975
.