Name
Abstract | ||
|---|---|---|
Legal information sources are characterized by their growth and dynamism since new laws are written every day. Recommender systems are used as an approach to the information overload problem. Thus they can help professionals of the legal area to deal with legal information sources. This paper describes the architectural design of Infonorma, a multi-agent recommender system for the legal domain. Infonorma monitors a repository of legal normative instruments and classifies them into legal branches. Each user specifies his/her interests for certain legal branches and receives recommendations of instruments they might be interested in. The information source is entirely written according to Semantic Web standards. Infonorma was developed under the guidelines of MAAEM, a software development methodology for multi-agent application engineering. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1276318.1276352 | ICAIL |
Keywords | Field | DocType |
multi-agent recommender system,information source,multi-agent application engineering,certain legal branch,legal normative instrument,legal domain,information overload problem,legal area,architectural design,legal branch,legal information source,multi agent systems,information system,information overload,multi agent system,software development methodology,semantic web,recommender system,recommender systems | Recommender system,Dynamism,Data mining,Information overload,World Wide Web,Normative,Computer science,Knowledge management,Semantic Web,Multi-agent system,Software development process,Information filtering system | Conference |
Citations | PageRank | References |
3 | 0.48 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lucas Drumond | 1 | 395 | 24.27 |
| Rosario Girardi | 2 | 3 | 0.48 |
| Adriana Leite | 3 | 3 | 0.48 |