Paper Info
Title
A multi-agent legal recommender system
Abstract
Infonorma is a multi-agent system that provides its users with recommendations of legal normative instruments they might be interested in. The Filter agent of Infonorma classifies normative instruments represented as Semantic Web documents into legal branches and performs content-based similarity analysis. This agent, as well as the entire Infonorma system, was modeled under the guidelines of MAAEM, a software development methodology for multi-agent application engineering. This article describes the Infonorma requirements specification, the architectural design solution for those requirements, the detailed design of the Filter agent and the implementation model of Infonorma, according to the guidelines of the MAAEM methodology.
Year
DOI
Venue
2008
10.1004/s10506-008-9062-8
Artif. Intell. Law
Keywords
DocType
Volume
legal information systemsmulti-agent systemsrecommender systemscontent-based filteringontologiessemantic web
Journal
16
Issue
ISSN
Citations 
2
1572-8382
0
PageRank 
References 
Authors
0.34
15
2
Name
Order
Citations
PageRank
Lucas Drumond139524.27
Rosario Girardi212011.12