Title
A Case Study on the Application of the MAAEM Methodology for the Specification Modeling of Recommender Systems in the Legal Domain
Abstract
Recommender systems have been target of continuous research over the last years, being used as an approach to the information overload problem. The Semantic Web is a new generation of the Web which aims at improving the effectiveness of information access on the Web by structuring its content in a machine readable way. Agents have been also object of active research on the software engineering field considering the high level of abstraction for software development provided by the multi-agent paradigm. This paper describes the modeling of Infonorma, a multi-agent recommender system for the legal domain developed under the guidelines of MAAEM, a methodology for multi-agent application development, which is also evaluated here.
Year
Venue
Keywords
2007
ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: INFORMATION SYSTEMS ANALYSIS AND SPECIFICATION
recommender systems,information filtering,semantic web,multi-agent systems
DocType
Citations 
PageRank 
Conference
2
0.39
References 
Authors
1
3
Name
Order
Citations
PageRank
Lucas Drumond139524.27
Rosario Girardi212011.12
Adriana Leite3111.32