Abstract
After graduation, an engineer expects to have a desired position of predesigned jobs, e.g. a young IT engineer with a great programming experience usually prefers to a software developer or a tester than a teaching job. For each selected job position, a student has made a good preparation during the study period, such as, right selection of a major or a minor, choosing related elective courses and topics for graduation thesis, taking supportive professional certificates, etc. Therefore, a career counselor is very helpful for students to select a suitable job position to which they would prefer after graduation. This paper presents an ontology-based job matching to facilitate finding the most appropriate job position for a student based on the job’s demand and the student’s capabilities. Ontologies are employed to model industrial job positions and student’s capabilities. Matching functions are proposed to match between the job modeling and the student modeling for job recommendation. The evaluation of job matching result shows a high correlation between the proposed system’s recommendation and the recruiter’s choice.
This paper is based in part upon work supported by the VNU Science Foundation under Grant Numbers B2012-28-12.
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Nguyen, C.D., Vo, K.D., Nguyen, D.T. (2013). Supporting Career Counseling with User Modeling and Job Matching. In: Nguyen, N., van Do, T., le Thi, H. (eds) Advanced Computational Methods for Knowledge Engineering. Studies in Computational Intelligence, vol 479. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00293-4_21
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DOI: https://doi.org/10.1007/978-3-319-00293-4_21
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