Affiliations: Department of Computer Science, University of Toronto, Toronto, Canada. E-mail: mfazel@cs.toronto.edu | Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada. E-mail: msf@eil.utoronto.ca
Note: [] Corresponding author: Maryam Fazel-Zarandi, Department of Computer Science, University of Toronto, 10 King's College Road, Toronto, Ontario M5S 3G4, Canada. E-mail: mfazel@cs.toronto.edu
Abstract: Organizations need to accurately understand the skills and competencies of their human resources to better utilize them and more effectively respond to internal and external demands for expertise. This paper focuses on the problem of inferring and validating skills and competencies over time. In particular, it explores how the quality of often inaccurate, insufficient, and invalid skill and competency information provided by people can be improved. At the core of this work is the development of an ontology for representing and evaluating skills and competencies and capturing information about sources of skill and competency information.
Keywords: Expert profiling, skills and competency management, human resources management, skills ontology
