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Beyond knowledge representation: commercial uses for legal knowledge bases
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Source International Conference on Artificial Intelligence and Law archive
Proceedings of the 4th international conference on Artificial intelligence and law table of contents
Amsterdam, The Netherlands
Pages: 167 - 174  
Year of Publication: 1993
ISBN:0-89791-606-9
Authors
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
IAAIL : Intl Asso for Artifical Intel & Law
Publisher
ACM  New York, NY, USA
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ABSTRACT

At the 1991 Conference, SoftLaw presented a paper dealing with issue which arise in the modelling of legislation as English sentences and rules which a computer can process. Using the techniques outlined in that article, knowledge bases may be constructed to model areas of the law, especially those concerned with public administration. This paper illustrates the incorporation of such knowledge bases into a large scale application. This type of application may be used to drive the business of any organisation which primarily administers a large body of rules (legislative or otherwise). Firstly, the paper gives a background description of the role played by ASSESS, a large scale application whose processing is based around legal knowledge bases. Secondly, the system architecture of ASSESS is examined, focusing on: (i) the overall architecture of the application, and why that architecture was adopted, (ii) the structure of the knowledge based component of the application, and the reasons for that structure.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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See diagram 3. The text on the fight is provided using an embeddable STATUTE Hypertext object.
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For example Sergot, Cory, Hammond, Kowalski, Kriwaczek and Sadri, 'Formalisation of the British Nationality Acf (1986) 2 Yearbook of Law, Computers and Technology, 40.
 
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The Entitlements rulebase is of a similar magnitude.
 
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The hypertext assistance provided to the user was also subject to an independant audit by Pete Marwick (KPMG). See diagram 3.
 
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Located around New Zealand, in Auckland, Hamilton, Wellington and Dunedin.
 
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Source code from cover.drb, the rulebase used by claim for cover. (drb = Development RuleBase).
 
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Source code from cover.drb.
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Collaborative Colleagues:
Surendra Dayal: colleagues
Michael Harmer: colleagues
Peter Johnson: colleagues
David Mead: colleagues

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