@techreport{RISC5486,author = {Tudor Jebelean and Nikolaj Popov},
title = {{A Set-Based Approach to Qualitative and Quantitative Estimation of Competencies}},
language = {english},
abstract = {We present a novel strategy for making non-trivial matches of
position openings versus job applications. The strategy forms a logically
based framework for the development of a real system which ensures a correct
and an efficient matching.
In our framework, we translate the notions of knowledge and skills into
abstract mathematical sets. The sets are classified and ordered, as the skills
are in the real life. The operations of finding similarities between skills are
then made as set intersections based on the mathematical apparatus for set operations.
Moreover, this theoretical model gives not only the possibility to decide if two
objects are similar or not, but also it defines a distance between them.
Based on that distance, one may compute the effort needed for a job applicant to fulfill
precise job descriptions.},
number = {17-05},
year = {2017},
month = {September},
length = {20},
type = {RISC Report Series},
institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz},
address = {Altenberger Straße 69, 4040 Linz, Austria},
issn = {2791-4267 (online)}
}