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| Content Provider | Springer Nature Link |
|---|---|
| Author | Saadoun, Adel Ermine, Jean Louis Belair, Claude Pouyot, Jean Mark |
| Copyright Year | 1997 |
| Abstract | Juris-Data is one of the largest case-study base in France. The case studies are indexed by legal classification elaborated by the Juris-Data Group. Knowledge engineering was used to design an intelligent interface for information retrieval based on this classification. The aim of the system is to help users find the case-study which is the most relevant to their own.The approach is potentially very useful, but for standardising it for other legal document bases it is necessary to extract a legal classification of the primary documents. Thus, a methodology for the construction of these classifications was designed together with a framework for index construction. The project led to the implementation of a Legal Case Studies Engineering Framework based on the accumulated experimentation and the methodologies designed. It consists of a set of computerised tools which support the life-cycle of the legal document from their processing by legal experts to their consultation by clients. |
| Starting Page | 179 |
| Ending Page | 205 |
| Page Count | 27 |
| File Format | |
| ISSN | 09248463 |
| Journal | Artificial Intelligence and Law |
| Volume Number | 5 |
| Issue Number | 3 |
| e-ISSN | 15728382 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 1997-01-01 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Philosophy of Law Artificial Intelligence (incl. Robotics) Legal Aspects of Computing Computational Linguistics Air and Space Law |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Law |
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