Intelligent methodologies for scientific conference management

  • Authors:
  • Marenglen Biba;Stefano Ferilli;Nicola Di Mauro;Teresa M. A. Basile

  • Affiliations:
  • Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italia;Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italia;Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italia;Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italia

  • Venue:
  • ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
  • Year:
  • 2006

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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.