A Knowledge Engineering Framework for Intelligent Retrieval of Legal Case Studies

Authors: Saadoun, A.1; Ermine, J-L.2; Belair, C.3; Pouyot, J-M.1

Source: Artificial Intelligence and Law, Volume 5, Number 3, September 1997 , pp. 179-205(27)

Publisher: Springer

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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.

Keywords: artificial intelligence; document base; information retrieval; knowledge engineering; legal databases

Document Type: Regular Paper

Affiliations: 1: Scalaire, rue Lafaurie Montbadon, 33000 Bordeaux, France 2: CEA/DIST/SMTI, Groupe Gestion des Connaissances, Centre d'Etudes de Saclay, 91191 Gif sur Yvette Cédex, France 3: Editions du Juris-Classeur, 141 Rue de Javel, 75747 Paris Cédex, France

Publication date: September 1, 1997

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