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Semantic Interoperability of CV Builder: Problem and Practical Solutions

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Information and Software Technologies (ICIST 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1486))

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Abstract

The article presents the results and practical solutions of the Operational Programme for the European Union Funds’ Investments in 2014–2020 project “Automated CV Builder Based on Artificial Intelligence Module”. The article discusses the problem of structuring curriculum vitae (CV) data, specifics of evaluation process, evaluation of candidate’s technical and personal skills, data validity, and data presentation problems. The results of the carried out empirical research and the systematic review of the literature are described, and the new CV builder information model is presented.

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References

  1. Kitchenham, B.: Procedures for performing systematic reviews. Joint technical report Software Engineering Group, Keele University, United Kingdom and Empirical Software Engineering, National ICT Australia Ltd., Australia (2004)

    Google Scholar 

  2. Woo, R., et al.: Writing the curriculum vitae and personal statement. J. Emerg. Med. 57(3), 411–414 (2019).

    Google Scholar 

  3. Filipov, V.; Arleo, A.; Federico, P.; Miksch, S.: CV3: visual exploration, assessment, and comparison of CVs. In: Eurographics Conference on Visualization 2019, vol. 38, pp. 107–118 (2019)

    Google Scholar 

  4. Agha, R; Whitehurst, K.; Jafree, D.; et al.: How to write a medical CV. International journal of surgery-oncology 2(6), e32 (2017)

    Google Scholar 

  5. Hicks, R.W., Roberts, M.E.E.: Curriculum vitae: An important tool for the nurse practitioner. J. Am. Assoc. Nurse Pract. 28(7), 347–352 (2016)

    Article  Google Scholar 

  6. Memon, A.R., Azim, M.E.: Open researcher and contributor identifier and other author identifiers: perspective from Pakistan. J. Pak. Med. Assoc. 69(6), 888–891 (2019)

    Google Scholar 

  7. Vrabel, M.: Online registries for researchers: using ORCID and SciENcv. Clin. J. Oncol. Nurs. 20(6), 667–668 (2016)

    Article  Google Scholar 

  8. Amador, S.R., Pérez, M.D., López-Huertas Pérez, M.J., Font, R.J.R.: Indicator system for managing science, technology and innovation in universities. Scientometrics 115, 1–13 (2018). https://doi.org/10.1007/s11192-018-2721-y

    Article  Google Scholar 

  9. Alfawareh, H.M., Jusoh, S.: Intelligent decision support system for CV evaluation based on natural language processing. Int. J. Adv. Appl. Sci. 6(4), 1–8 (2019)

    Article  Google Scholar 

  10. Bazsova, B.: How can the company choose the best web designer? Decision-making application within a company. Int. J. Adv. Appl. Sci. 6(2), 6–11 (2019)

    Article  Google Scholar 

  11. Salinas, I., Lera, I., Guerrero, C., et al.: Towards a semantic research information system based on researchers’ CV documents. Int. J. Qual. Res. 13(1), 131–144 (2019)

    Article  Google Scholar 

  12. Celik, D.: Towards a semantic-based information extraction system for matching resumes to job openings. Turk. J. Electr. Eng. Comput. Sci. 24(1), 141–159 (2016)

    Article  Google Scholar 

  13. Cabrera-Diego, L.A., El-Beze, M., Torres-Moreno, J.-M., Durette, B.: Ranking resumes automatically using only resumes: a method free of job offers. Expert Syst. Appl. 123, 91–107 (2019)

    Article  Google Scholar 

  14. Kaltenbrunner, W., de Rijcke, S.: Filling in the gaps: the interpretation of curricula vitae in peer review. Soc. Stud. Sci. 49(6), 863–883 (2019)

    Article  Google Scholar 

  15. Judge, T.A., Heller, D., Mount, M.K.: Five-factor model of personality and job satisfaction: a meta-analysis. J. Appl. Psychol. 87(3), 530–541 (2002)

    Google Scholar 

  16. Roberts, B.W., Kuncel, N., Shiner, R., et al.: The power of personality: the comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting important life outcomes. Perspect. Psychol. Sci. 2(4), 313–345 (2007)

    Article  Google Scholar 

  17. Arnoux, P.-H., Xu, A., Boyette. N., et al.: 25 Tweets to know you: a new model to predict personality with social media. In: Eleventh International AAAI Conference on Web and Social Media, pp. 472–475 (2017)

    Google Scholar 

  18. Chen, J., Hsieh, G., Mahmud, J., et al.: Understanding individuals’ personal values from social media word use. In: Proceedings of the ACM Conference on Computer Supported Cooperative Work & Social Computing, pp. 405–414 (2014)

    Google Scholar 

  19. IBM Cloud Docs/Personality Insights Homepage. https://cloud.ibm.com/apidocs/personality-insights. Accessed 12 Mar 2021

  20. Li-Ren Chien, Li-R.; Buehrer, D: Using a typed mind map as data model in a TDD DICE system. J. Comput. Inf. Technol. 16(4), 345–354 (2008)

    Google Scholar 

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Authors and Affiliations

  1. Vilniaus Kolegija, University of Applied Sciences, Saltoniškių str. 58, 08105, Vilnius, Lithuania

    Svetlana Kubilinskiene, Valdona Judickaite-Zukovske & Tatjana Liogiene

Authors
  1. Svetlana Kubilinskiene
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  2. Valdona Judickaite-Zukovske
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  3. Tatjana Liogiene
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Corresponding author

Correspondence to Svetlana Kubilinskiene .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Audrius Lopata

  2. Kaunas University of Technology, Kaunas, Lithuania

    Daina Gudonienė

  3. Kaunas University of Technology, Kaunas, Lithuania

    Rita Butkienė

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Kubilinskiene, S., Judickaite-Zukovske, V., Liogiene, T. (2021). Semantic Interoperability of CV Builder: Problem and Practical Solutions. In: Lopata, A., Gudonienė, D., Butkienė, R. (eds) Information and Software Technologies. ICIST 2021. Communications in Computer and Information Science, vol 1486. Springer, Cham. https://doi.org/10.1007/978-3-030-88304-1_8

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  • DOI: https://doi.org/10.1007/978-3-030-88304-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88303-4

  • Online ISBN: 978-3-030-88304-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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