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Intelligent Methodologies for Scientific Conference Management

  • Marenglen Biba
  • Stefano Ferilli
  • Nicola Di Mauro
  • Teresa M. A. Basile
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4203)

Abstract

This paper presents the advantage that knowledge-intensive activities, such as Scientific Conference Management, can take by the exploitation of expert components in the key tasks. Typically, in this domain the task of scheduling the activities and resources or the assignment of reviewers to papers is performed manually leading therefore to time-consuming procedures with high degree of inconsistency due to many parameters and constraints to be considered. The proposed systems, evaluated on real conference datasets, show good results compared to manual scheduling and assignment, in terms of both accuracy and reduction of runtime.

Keywords

Expert System Program Committee Coverage Degree Paper Topic Automate Timetabling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Marenglen Biba
    • 1
  • Stefano Ferilli
    • 1
  • Nicola Di Mauro
    • 1
  • Teresa M. A. Basile
    • 1
  1. 1.Dipartimento di InformaticaUniversità degli Studi di BariBariItalia

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