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Workshop on Case Based Reasoning, Cambridge : Royaume-Uni (2004)
An intelligent peer-to-peer multi-agent system for collaborative management of bibliographic databases
Hager Karoui 1, Rushed Kanawati 1, Laure Petrucci 1
(2004)

This paper describes the design of a peer-to-peer system for collaborative management of distributed bibliographical databases. The goal of this system is twofold: firstly, it aims at providing help for users to manage their local bibliographical databases. Secondly, it offers the possibility to exchange bibliographical data among like-minded user groups in an implicit and intelligent manner. Each user is assisted by a personal agent that provides help such as: filling in bibliographical records, verifying the correctness of information entered and more importantly, recommendation of relevant bibliographical references. To do this, the personal agent needs to collaborate with its peers in order to get relevant recommendations. Each agent applies a case-based reasoning approach in order to provide peers with requested recommendations. The paper focuses mainly on describing the recommendation computation approach.
1:  Laboratoire d'informatique de Paris-nord (LIPN)
CNRS : UMR7030 – Université Paris XIII - Paris Nord
Computer Science/Other

Computer Science/Artificial Intelligence

Computer Science/Multiagent Systems
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