Abstract
Different sources (best practices, rules and customer requirements) can trigger the need for adapting changes into organizational processes. This paper presents an ontology-based matching process and architecture that can be used to discover discrepancies and similarities between actual and required operation in that the latter is detecting by processing dynamically varying documents. The SMART system was elaborated to investigate the compliance between job market expectations and educational offers. This system is a use case of this architecture.
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CITATION STYLE
Szabó, I., & Neusch, G. (2015). Dynamic skill gap analysis using ontology matching. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9265, pp. 231–242). Springer Verlag. https://doi.org/10.1007/978-3-319-22389-6_17
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