An Architecture to Legal Distributed Case Repositories
نویسندگان
چکیده
The study of past cases is an important part of the every-day work carried out by people involved with the application of the law. Currently, the consultation and analysis of legal precedents are, in the majority of the cases, made manually, without the use of any supporting tool. This paper presents an architecture that establishes legal case repositories. These repositories can serve as a base to decision support systems that are able to conduct intelligent analysis of legal precedents. The cases are stored in replicated repositories using the Standard Generalized Markup Language (SGML). The architecture is constituted by two levels, each one implementing its own functionalities. The first level includes the repositories, which can be accessed to consult past cases, being the selection of the cases of interest made based in a model of indexation of the information contained in the cases themselves. On top of the first level reside the Artificial Intelligence modules, implement personal assistants, which assist the user in the intelligent analysis of cases.
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