S-WOLF: Semantic Workplace Learning Framework

Matteo Gaeta

doi:10.1109/TSMC.2014.2334551

S-WOLF: Semantic Workplace Learning Framework

2015-01-01

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DOI：10.1109/TSMC.2014.2334551

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Workplace learning can be conceived as the set of processes related to learning and training activities at work. Typically, workplace learning includes formal, informal, and non-formal learning activities. Having a control on the whole learning process of each worker is a complex task. Indeed we have to align individual learning paths, real workers' needs (for instance in terms of tasks or projects to accomplish), career plans, and other organizational needs to activate virtuous knowledge flows. In order to accomplish this complex task a comprehensive framework is needed. This paper provides the definition of the aforementioned framework by exploiting semantic technologies in order to model (by means of Ontologies), represent, extract, and share knowledge within organizations. Although the proposed framework allows a wide range of workplace learning experiences, it mainly focuses on informal learning, on the ways it can be sustained by exploiting organizational resources, and on the capability of linking individual and organizational learning in the context of a widely accepted knowledge flow model like socialization, externalization, composition, and internalization.

Keywords:

Fuzzy formal concept analysis

linked data

semantic web

workplace learning

S-WOLF: Semantic Workplace Learning Framework

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