A CASE STUDY ON THE APPLICATION OF THE MAAEM METHODOLOGY FOR THE SPECIFICATION MODELING OF RECOMMENDER SYSTEMS IN THE LEGAL DOMAIN

Lucas Drumond, Rosario Girardi, Adriana Leite

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.

References

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Paper Citation


in Harvard Style

Drumond L., Girardi R. and Leite A. (2007). A CASE STUDY ON THE APPLICATION OF THE MAAEM METHODOLOGY FOR THE SPECIFICATION MODELING OF RECOMMENDER SYSTEMS IN THE LEGAL DOMAIN . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-972-8865-91-7, pages 155-160. DOI: 10.5220/0002389201550160


in Bibtex Style

@conference{iceis07,
author={Lucas Drumond and Rosario Girardi and Adriana Leite},
title={A CASE STUDY ON THE APPLICATION OF THE MAAEM METHODOLOGY FOR THE SPECIFICATION MODELING OF RECOMMENDER SYSTEMS IN THE LEGAL DOMAIN},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2007},
pages={155-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002389201550160},
isbn={978-972-8865-91-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - A CASE STUDY ON THE APPLICATION OF THE MAAEM METHODOLOGY FOR THE SPECIFICATION MODELING OF RECOMMENDER SYSTEMS IN THE LEGAL DOMAIN
SN - 978-972-8865-91-7
AU - Drumond L.
AU - Girardi R.
AU - Leite A.
PY - 2007
SP - 155
EP - 160
DO - 10.5220/0002389201550160