Most legal expert systems to date have been purely rule-based. Case-based
reasoning is a methodology for building legal expert systems whereby profiles of
cases contained in a database, rather than specific legal rules, direct the outcomes of
the system. Frame-based knowledge representation in legal expert systems involves
the use of frames to represent legal knowledge. Case-based reasoning and frame-based
knowledge representation offer significant advantages over purely rule-based
legal expert systems in case-based law. These advantages are realizable by using
the deep structure approach to knowledge representation. This involves searching
beneath law at the doctrinal level for underlying fact patterns and structures which
explain decisions in cases. This is demonstrated by the Malicious Prosecution
Consultant, a legal expert system which operates in the domain of the tort of
malicious prosecution. The Malicious Prosecution Consultant confirms the results
of earlier research at The University of British Columbia, Faculty of Law that it is
possible to build legal expert systems in unstructured areas of case-based law with
relatively cheap commercially available expert system shells by using the deep
structure approach to knowledge representation. / Law, Peter A. Allard School of / Graduate
| Identifer | oai:union.ndltd.org:UBC/oai:circle.library.ubc.ca:2429/42045 |
| Date | January 1990 |
| Creators | Kowalski, Andrzej |
| Publisher | University of British Columbia |
| Source Sets | University of British Columbia |
| Language | English |
| Detected Language | English |
| Type | Text, Thesis/Dissertation |
| Rights | For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. |
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