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A Framework to Generate Carrier Path Using Semantic Similarity of Competencies in Job Position

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Trends in Artificial Intelligence: PRICAI 2016 Workshops (PRICAI 2016)

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Abstract

A career path is necessary for students and workers to keep themselves in track for their career goal. However, a career path following a job standard in general is very rare. This paper presents a method to find a semantic similarity within competencies of Job positions for realising a path to relate career. By a development of Thai WordNet containing terms used in competency description, a distance of classes of WordNet structure is used to determine a semantic similarity of competencies. Paths to relate job positions are assumed for the job positions sharing similar competencies, and the more they share, the more transferrable job is viable. From the usage scenario, the proposed framework proved that semantic of words is more useful than using character based similarity in competency comparison.

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References

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Correspondence to Wasan Na Chai .

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Na Chai, W., Ruangrajitpakorn, T., Buranarach, M., Supnithi, T. (2017). A Framework to Generate Carrier Path Using Semantic Similarity of Competencies in Job Position. In: Numao, M., Theeramunkong, T., Supnithi, T., Ketcham, M., Hnoohom, N., Pramkeaw, P. (eds) Trends in Artificial Intelligence: PRICAI 2016 Workshops. PRICAI 2016. Lecture Notes in Computer Science(), vol 10004. Springer, Cham. https://doi.org/10.1007/978-3-319-60675-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-60675-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60674-3

  • Online ISBN: 978-3-319-60675-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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