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Title:
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SCOWT: SEMANTIC COMPETENCIES FOR WORKER TRAINING |
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Author(s):
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Alejandro Álvarez Menéndez, José Emilio Labra Gayo |
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ISBN:
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978-972-8939-38-0 |
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Editors:
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Miguel Baptista Nunes and Pedro Isaías |
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Year:
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2011 |
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Edition:
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Volume II |
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Keywords:
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Ontology, semantic web, competencies management, owl |
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Type:
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Short Paper |
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First Page:
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216 |
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Last Page:
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219 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Organizations globalization is becoming more and more usual in IT sector. Currently, teams composed by members from different countries and collaborating with other foreign teams is a growing tendency. However, this multicultural working environment carries remarkable problems due to linguistic and cultural issues. These problems arise not only in software development stages but also in information exchange between organization departments. The Human Resources (HR) department is one of those departments that suffer from ambiguous vocabulary while understanding concepts like, e.g, competence or skill. We propose a Competence Management Ontology (calledSCOWT), inspired by Semantic Web technologies, Linked Data principles and the European e-Competence Framework for ICT professional competencies definition. This ontology has been designed as the key component for the development of a Competence Management System. Using ontologies will raise the current level of semantic interoperability of data exchange between HR departments and could improve efficiency of HR activities, specifically the training activities design in a global IT organization. |
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