Developing co-operating legal knowledge based systems

  • George Vossos
  • John Zeleznikow
  • Daniel Hunter
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 728)


In attempting to build intelligent litigation support tools, we have moved beyond first generation, production rule legal expert systems. Our work supplements rule-based reasoning with case based reasoning and intelligent information retrieval. This research, specifies an approach to the case based retrieval problem which relies heavily on an extended object-oriented / rule-based system architecture that is supplemented with causal background information. Machine learning techniques and a distributed agent architecture are used to help simulate the reasoning process of lawyers. In this paper, we outline our implementation of the hybrid IKBALS II Rule Based Reasoning / Case Based Reasoning system. It makes extensive use of an automated case representation editor and background information.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • George Vossos
    • 1
  • John Zeleznikow
    • 1
  • Daniel Hunter
    • 2
  1. 1.Database Research Laboratory, Applied Computing Research InstituteLa Trobe UniversityBundooraAustralia
  2. 2.Law SchoolUniversity of MelbourneParkvilleAustralia

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