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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Biba, M., Ferilli, S., Di Mauro, N., & Basile, T. M. A. (2006). Intelligent methodologies for scientific conference management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4203 LNAI, pp. 258–267). Springer Verlag. https://doi.org/10.1007/11875604_29
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