Authors:
Lucas Drumond
;
Rosario Girardi
;
D’Jefferson Maranhão
and
Geraldo Abrantes
Affiliation:
Federal University of Maranhão, Brazil
Keyword(s):
Recommender systems, Content based filtering, Collaborative filtering, Legal information systems, JADE.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Cloud Computing
;
Enterprise Information Systems
;
Informatics in Control, Automation and Robotics
;
Information Systems Analysis and Specification
;
Intelligent Agents
;
Intelligent Control Systems and Optimization
;
Internet Technology
;
Knowledge Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Knowledge-Based Systems Applications
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Modeling Formalisms, Languages and Notations
;
Semantic Web Technologies
;
Services Science
;
Software Agents and Internet Computing
;
Software Engineering
;
Symbolic Systems
;
Systems Engineering
;
Web Information Agents
;
Web Information Systems and Technologies
Abstract:
Recommender systems can help professionals of the legal area to deal with the growth and dynamism of legal information sources. Infonorma is a multi-agent recommender system that recommends legal normative instruments to users according to their particular interests using both content-based and collaborative information filtering techniques. It has been modeled under the guidelines of the MAAEM methodology. This paper discusses the main implementation issues of the Infonorma system.