Beyond rule-based legal expert systems : using frames and case-based reasoning to analyze the tort of malicious prosecution

Publisher

University of British Columbia

Date Issued

2012

Document Type

Thesis

Degree

Master of Laws - LLM

Program

Law

Description

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.

Subject(s)

Malicious prosecution; Information storage and retrieval systems - Law

Date Available

2012-04-17

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.

DOI

10.14288/1.0077764

Affiliation

Law, Peter A. Allard School of

ID

1.0077764

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