What is it about?
In the Human Resources domain the accurate matching between job positions and job applicants profiles is crucial for job seekers and recruiters. The use of recruitment taxonomies has proven to be of significant advantage in the area by enabling semantic matching and reasoning. Hence, the development of Knowledge Bases (KB) where curricula vitae and job offers can be uploaded and queried in order to obtain the best matches by both, applicants and recruiters is highly important.
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Why is it important?
Because we introduce an approach to improve matching of profiles, starting by expressing jobs and applicants profiles by filters representing skills and competencies. Filters are used to calculate the similarity between concepts in the subsumption hierarchy of a KB. This is enhanced by adding weights and aggregates on filters.
Perspectives
Moreover, we present an approach to evaluate over-qualification and introduce blow-up operators that transform certain role relations such that matching of filters can be applied.
Dr Jorge Martinez-Gil
Software Competence Center Hagenberg GmbH
Read the Original
This page is a summary of: Extending Knowledge-Based Profile Matching in the Human Resources Domain, January 2015, Springer Science + Business Media,
DOI: 10.1007/978-3-319-22852-5_3.
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