David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Artificial Intelligence and Law 17 (1):31-49 (2009)
Access to legal information and, in particular, to legal literature is examined for the creation of a search and retrieval system for Italian legal literature. The design and implementation of services such as integrated access to a wide range of resources are described, with a particular focus on the importance of exploiting metadata assigned to disparate legal material. The integration of structured repositories and Web documents is the main purpose of the system: it is constructed on the basis of a federation system with service provider functions, aiming at creating a centralized index of legal resources. The index is based on a uniform metadata view created for structured data by means of the OAI approach and for Web documents by a machine learning approach, which, in this paper, has been assessed as regards document classification. Semantic searching is a major requirement for legal literature users and a solution based on the exploitation of Dublin Core metadata, as well as the use of legal ontologies and related terms prepared for accessing indexed articles have been implemented.
|Keywords||Semantic Web Legal information retrieval Machine learning Document classification|
|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
E. Francesconi & A. Passerini (2007). Automatic Classification of Provisions in Legislative Texts. Artificial Intelligence and Law 15 (1):1-17.
Citations of this work BETA
Trevor Bench-Capon, Michał Araszkiewicz, Kevin Ashley, Katie Atkinson, Floris Bex, Filipe Borges, Daniele Bourcier, Paul Bourgine, Jack G. Conrad, Enrico Francesconi, Thomas F. Gordon, Guido Governatori, Jochen L. Leidner, David D. Lewis, Ronald P. Loui, L. Thorne McCarty, Henry Prakken, Frank Schilder, Erich Schweighofer, Paul Thompson, Alex Tyrrell, Bart Verheij, Douglas N. Walton & Adam Z. Wyner (2012). A History of AI and Law in 50 Papers: 25 Years of the International Conference on AI and Law. [REVIEW] Artificial Intelligence and Law 20 (3):215-319.
Similar books and articles
M. Saravanan, B. Ravindran & S. Raman (2009). Improving Legal Information Retrieval Using an Ontological Framework. Artificial Intelligence and Law 17 (2):101-124.
Lucas Drumond & Rosario Girardi (2008). A Multi-Agent Legal Recommender System. Artificial Intelligence and Law 16 (2):175-207.
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.
Howard Turtle (1995). Text Retrieval in the Legal World. Artificial Intelligence and Law 3 (1-2):5-54.
Marie-Francine Moens (2001). Innovative Techniques for Legal Text Retrieval. Artificial Intelligence and Law 9 (1):29-57.
Luuk Matthijssen (1998). A Task-Based Interface to Legal Databases. Artificial Intelligence and Law 6 (1):81-103.
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.
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.
Added to index2009-01-28
Total downloads13 ( #130,128 of 1,168,025 )
Recent downloads (6 months)1 ( #140,420 of 1,168,025 )
How can I increase my downloads?