@article {Saadoun:1997:0924-8463:179,
	author = "Saadoun A. and Ermine J-L. and Belair C. and Pouyot J-M.",
	title = "A Knowledge Engineering Framework for Intelligent Retrieval of Legal Case Studies",
	journal = "Artificial Intelligence and Law",
	volume = "5",
	number = "3",
	year = "1997",
	abstract = "<P>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. </P><P>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. </P>",
	pages = "179-205",
	url = "http://www.ingentaconnect.com/content/klu/arti/1997/00000005/00000003/00128217",
	keyword = "legal databases, information retrieval, artificial intelligence, knowledge engineering, document base"
}