An evaluation of retrieval effectiveness for a full-text document-retrieval system
Communications of the ACM
Case-based reasoning
Justification Structures for Document Reuse
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
A Large Case-Based Reasoner for Legal Cases
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Dynamic information and library processing
Dynamic information and library processing
Improving the representation of legal case texts with information extraction methods
Proceedings of the 8th international conference on Artificial intelligence and law
First steps in building a model for the retrieval of court decisions
International Journal of Human-Computer Studies
Concept-based ranking: a case study in the juridical domain
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Classification and clustering for case-based criminal summary judgments
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
The design and development of a tutoring system for legal domain
WBE'06 Proceedings of the 5th IASTED international conference on Web-based education
Integrated approach to detect inconspicuous contents
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
| Hi-index | 0.00 |
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.