Int. J. Knowledge and Learning, Vol. 9, No. 3, 2014 219 Copyright © 2014 Inderscience Enterprises Ltd. Evaluation of the human resources relevance in organisations via knowledge technologies and semantic social network analysis Angelo Gaeta* and Matteo Gaeta Department of Information Engineering, Electric Engineering and Applied Mathematics (DIEM), University of Salerno, Via Giovanni Paolo II, 123, 84084 Fisciano (SA), Italy Email: agaeta@unisa.it Email: mgaeta@unisa.it *Corresponding author Paolo Piciocchi Department of Political, Social and Communication Science (DPSCS), University of Salerno, Via Giovanni Paolo II, 123, 84084 Fisciano (SA), Italy Email: p.piciocchi@unisa.it Pierluigi Ritrovato Department of Information Engineering, Electric Engineering and Applied Mathematics (DIEM), University of Salerno, Via Giovanni Paolo II, 123, 84084 Fisciano (SA), Italy Email: pritrovato@unisa.it Agostino Vollero Department of Political, Social and Communication Science (DPSCS), University of Salerno, Via Giovanni Paolo II, 123, 84084 Fisciano (SA), Italy Email: avollero@unisa.it Abstract: This paper reports the results of the ARISTOTELE methodology for decision support on human resource management (HRM) implemented in the Relevance Analysis tool. The Relevance Analysis is devoted to provide a systemic way to map human resources on the basis of their relevance in an organisation, and for taking informed decisions. Relevance is a combination of two factors: i) Criticality, an attribute to establish the attention degree that the