Artificial Intelligence and Law

, Volume 16, Issue 2, pp 175–207 | Cite as

A multi-agent legal recommender system

Article

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.

Keywords

Legal information systems Multi-agent systems Recommender systems Content-based filtering Ontologies Semantic Web 

Notes

Acknowledgment

This work is supported by CNPq, an institution of the Brazilian Government for scientific and technologic development.

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Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  1. 1.Departamento de InformáticaUniversidade Federal do Maranhão (UFMA)Sao LuisBrazil

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