Title :
An Ontology-Alignment Based Recommendation Mechanism for Improving the Acquisition and Implementation of Managerial Training Services in Project Oriented Organizations
Author :
Bodea, Constanta-Nicoleta ; Dascalu, Maria-Iuliana ; Serbanati, Luca Dan
Abstract :
The paper proposes a recommendation mechanism to enhance the managerial training in project-oriented organizations (POOs). The mechanism is presented within the framework of an innovative system used to provide support to POOs during the acquisition and implementation of training services. The recommender engine has, as inputs, the knowledge gaps of the employees given by an assessment system and the alignment in RDF/XML format between two ontological representations: one for the management documents provided by POOs and one for the training curriculum offered to the POOs. The recommender engine makes suggestions for adapting the training curriculum to the POOs´ needs, by translating the ontology alignment result into a user-friendly form and by identifying web resources suitable to fill up the knowledge gaps. The outputs are smart recommendations meant to personalize the training curriculum to POOs and, thus, to increase the competitiveness of POOs.
Keywords :
Recommender system; ontology; project oriented organization; training personalization;
Conference_Titel :
Engineering of Computer Based Systems (ECBS), 2012 IEEE 19th International Conference and Workshops on
Conference_Location :
Novi Sad, Serbia
Print_ISBN :
978-1-4673-0912-7
DOI :
10.1109/ECBS.2012.14