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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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)
Woo, R., et al.: Writing the curriculum vitae and personal statement. J. Emerg. Med. 57(3), 411–414 (2019).
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)
Agha, R; Whitehurst, K.; Jafree, D.; et al.: How to write a medical CV. International journal of surgery-oncology 2(6), e32 (2017)
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)
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)
Vrabel, M.: Online registries for researchers: using ORCID and SciENcv. Clin. J. Oncol. Nurs. 20(6), 667–668 (2016)
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
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
IBM Cloud Docs/Personality Insights Homepage. https://cloud.ibm.com/apidocs/personality-insights. Accessed 12 Mar 2021
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-88304-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-88303-4
Online ISBN: 978-3-030-88304-1
eBook Packages: Computer ScienceComputer Science (R0)