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
CBR for Document Retrieval: The FALLQ Project
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Case-Based Reasoning Technology, From Foundations to Applications
Using logic programming to model Multi-Agent web legal systems – an application report
Proceedings of the 8th international conference on Artificial intelligence and law
An Interactive Graph Based Legal Information Retrieval System
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
Concept-based ranking: a case study in the juridical domain
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Analyzing the use of dynamic weights in legal case based system
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Ontology Graphical Editor for Multilingual Document Search System
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
A natural language interface for information retrieval on semantic web documents
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
PGR: portuguese attorney general's office decisions on the web
INAP'01 Proceedings of the Applications of prolog 14th international conference on Web knowledge management and decision support
EGOV'05 Proceedings of the 4th international conference on Electronic Government
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In the legal domain, jurisprudence has an important role as a juridical source; its decisions support the application of the Law to a concrete case. The problem is that Brazilian Courts produce an enormous amount of decisions every year, turning these text sources larger every time and forcing juridical professionals to spend more time in the search for a relevant decision. Sophisticated AI techniques are needed to minimize searches time and improves the quality and appropriateness of the retrieved information. This paper describes a case-based approach for the intelligent retrieval of jurisprudencial texts. The approach enables the retrieval of adequate texts with characteristics similar to information supplied by the user in natural language. New documents are automatically included into the knowledge base by extracting relevant information. In order to enable the processing of informal textual knowledge in natural language, a controlled vocabulary and a juridical thesaurus based on common juridical terminology, is integrated into the retrieval and extraction process. The approach is based on sentences to criminal proceedings in the domain of the Brazilian Right.