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A knowledge engineering framework for intelligent retrieval of legal case studies

Author

Listed:
  • Adel Saadoun

    (LIST (CEA) - Laboratoire d'Intégration des Systèmes et des Technologies - DRT (CEA) - Direction de Recherche Technologique (CEA) - CEA - Commissariat à l'énergie atomique et aux énergies alternatives)

  • Jean-Louis Ermine

    (CEA - Commissariat à l'énergie atomique et aux énergies alternatives)

  • Claude Belair

    (Jurisdata - Editions du Juris-Classeur)

  • Jean-Marc Pouyot

    (Scalaire - Société Scalaire)

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 Studie, 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.

Suggested Citation

  • Adel Saadoun & Jean-Louis Ermine & Claude Belair & Jean-Marc Pouyot, 1997. "A knowledge engineering framework for intelligent retrieval of legal case studies," Post-Print hal-00984530, HAL.
    • Handle: RePEc:hal:journl:hal-00984530
    Note: View the original document on HAL open archive server: https://hal.science/hal-00984530
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