A multi-agent legal recommender system |
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Authors: | Lucas Drumond Rosario Girardi |
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Affiliation: | 1.Departamento de Informática,Universidade Federal do Maranh?o (UFMA),Sao Luis,Brazil |
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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. |
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Keywords: | Legal information systems Multi-agent systems Recommender systems Content-based filtering Ontologies Semantic Web |
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