David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Artificial Intelligence and Law 6 (1):81-103 (1998)
This paper addresses the problems that lawyers experience retrieving information from legal-text databases. Traditional access mechanisms of text databases require users to know how information is stored. We propose a method for index organisation which shields lawyers from the internal storage structures and which allows them to address the legal databases in their own legal terms. The proposed index is based on a model of legal tasks as opposed to traditional database indexes which represent the contents of the database. We will lay out the architecture of an information system in which this task model is used to determine the information need, to retrieve relevant documents and to give methodical guidance for the legal task itself. To account for the design of a task-based legal information retrieval system, a substantial part of this paper is devoted to analysis and representation of legal tasks.
|Keywords||No keywords specified (fix it)|
|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
E. Pietrosanti & B. Graziadio (1999). Advanced Techniques for Legal Document Processing and Retrieval. Artificial Intelligence and Law 7 (4):341-361.
Elisabetta Iossa & Bruno Jullien, The Market for Lawyers: The Value of Information on the Quality of Legal Services.
Erich Schweighofer & Doris Liebwald (2007). Advanced Lexical Ontologies and Hybrid Knowledge Based Systems: First Steps to a Dynamic Legal Electronic Commentary. [REVIEW] Artificial Intelligence and Law 15 (2):103-115.
Robin Widdison, Francis Pritchard & William Robinson (1992). The European Conflicts Guide. Artificial Intelligence and Law 1 (4):291-304.
M. Saravanan, B. Ravindran & S. Raman (2009). Improving Legal Information Retrieval Using an Ontological Framework. Artificial Intelligence and Law 17 (2):101-124.
Adel Saadoun, Jean-Louis Ermine, Claude Belair & Jean-Mark Pouyot (1997). A Knowledge Engineering Framework for Intelligent Retrieval of Legal Case Studies. Artificial Intelligence and Law 5 (3):179-205.
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.
E. Francesconi & G. Peruginelli (2009). Integrated Access to Legal Literature Through Automated Semantic Classification. Artificial Intelligence and Law 17 (1):31-49.
Trevor Bench-Capon (2001). Luuk Matthijssen: Interfacing Between Lawyers and Computers: An Architecture for Knowledge-Based Interfaces to Legal Databases. [REVIEW] Artificial Intelligence and Law 8 (4):349-352.
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.
Added to index2009-01-28
Total downloads5 ( #524,065 of 1,911,401 )
Recent downloads (6 months)1 ( #455,910 of 1,911,401 )
How can I increase my downloads?