David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Artificial Intelligence and Law 5 (3):179-205 (1997)
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 Studies Engineering Framework 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
|Keywords||legal databases information retrieval artificial intelligence knowledge engineering document base|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Laurens Mommers, Wim Voermans, Wouter Koelewijn & Hugo Kielman (2009). Understanding the Law: Improving Legal Knowledge Dissemination by Translating the Contents of Formal Sources of Law. [REVIEW] Artificial Intelligence and Law 17 (1):51-78.
Edwina L. Rissland, David B. Skalak & M. Timur Friedman (1996). BankXX: Supporting Legal Arguments Through Heuristic Retrieval. [REVIEW] Artificial Intelligence and Law 4 (1):1-71.
T. J. M. Bench-Capon & F. P. Coenen (1992). Isomorphism and Legal Knowledge Based Systems. Artificial Intelligence and Law 1 (1):65-86.
José Saias & Paulo Quaresma (2004). A Methodology to Create Legal Ontologies in a Logic Programming Based Web Information Retrieval System. Artificial Intelligence and Law 12 (4):397-417.
E. Francesconi & G. Peruginelli (2009). Integrated Access to Legal Literature Through Automated Semantic Classification. Artificial Intelligence and Law 17 (1):31-49.
Wim Peters, Maria-Teresa Sagri & Daniela Tiscornia (2007). The Structuring of Legal Knowledge in Lois. Artificial Intelligence and Law 15 (2):117-135.
Gian Piero Zarri (2007). Ontologies and Reasoning Techniques for (Legal) Intelligent Information Retrieval Systems. Artificial Intelligence and Law 15 (3):251-279.
M. Saravanan, B. Ravindran & S. Raman (2009). Improving Legal Information Retrieval Using an Ontological Framework. Artificial Intelligence and Law 17 (2):101-124.
Marie-Francine Moens (2001). Innovative Techniques for Legal Text Retrieval. Artificial Intelligence and Law 9 (1):29-57.
John Zeleznikow, George Vossos & Daniel Hunter (1993). The IKBALS Project: Multi-Modal Reasoning in Legal Knowledge Based Systems. [REVIEW] Artificial Intelligence and Law 2 (3):169-203.
Added to index2009-01-28
Total downloads8 ( #198,838 of 1,692,220 )
Recent downloads (6 months)1 ( #184,284 of 1,692,220 )
How can I increase my downloads?