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Autoria: • Lucas Drumond
• Rosario Girardi
Título: A Multi-agent Legal Recommender System
Complemento: Journal of Artificial Intelligence and Law, v. 16 n. 2
Resumo: 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.
Palavras-chave: Legal Information Systems; Multi-Agent Systems; Recommender Systems
Editora: Springer Netherlands
Catalogação: ISSN 1572-8382
Páginas: 175-207
Data: Junho de 2008
Meio: Periódicos
Vínculo: dx.doi.org/10.1007/s10506-008-9062-8


Atualizado em 03/11/2016
UNIVERSIDADE FEDERAL DO MARANHÃO
CENTRO DE CIÊNCIAS EXATAS E TECNOLOGIA
DEPARTAMENTO DE INFORMÁTICA