Skip to main content
SpringerLink
Log in

Ontology-Based Resume Searching System for Job Applicants in Information Technology

  • Conference paper
  • First Online:
Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices (IEA/AIE 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12798))

Abstract

In recruitment industry nowadays, the selection of best curriculum vitae (CV) for a particular job description (JD) among thousands of CVs is really challenging. The goal of this paper is to optimize job recruitment process by automatically matching skill graph extracted from CV and JD. Ontologies for contents of CVs and JDs are proposed to represent information of them. The screening system is worked based on built ontologies and solve matching problems between them. Some problems for matching the content of CVs and JDs are used by using natural language processing and machine learning techniques. The system has been tested on job domains about information technology (IT). Dataset is collected from TopCV, Dice and Indeed which are large IT labor markets on internet. Through testing results, the proposed method is effective to search CVs being appropriate with a determined JD in IT domain.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Faliagka, E., Iliadis, L., Karydis, I., et al.: On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV. Artif. Intell. Rev. 42, 515–528 (2014)

    Article  Google Scholar 

  2. Cannella-Malone, H.I., Bumpus, E.C., Sun, X.: Using a job-matching assessment to inform skills to target with video prompting. Adv. Neurodevelopmental Disord. 4(4), 471–479 (2020). https://doi.org/10.1007/s41252-020-00182-7

    Article  Google Scholar 

  3. Do, N., Nguyen, H., Hoang, L.: Some techniques for intelligent searching on ontology-based knowledge domain in E-learning. In: Proceedings of 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020), KEOD, Budapest, Hungary, vol. 2 (2020)

    Google Scholar 

  4. Dumontier, M., Baker, C.J., Baran, J., et al.: The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery. J. Biomed. Semant. 5, 14 (2014)

    Article  Google Scholar 

  5. Do, N., Nguyen, H.D., Mai, T.: A method of ontology integration for designing intelligent problem solvers. Appl. Sci. 9(18), 3793 (2019)

    Article  Google Scholar 

  6. Senthil Kumaran, V., Sankar, A.: Towards an automated system for intelligent screening of candidates for recruitment using ontology mapping (EXPERT). Int. J. Metadata Semant. Ontologies (IJMSO) 8(1), 56–64 (2013)

    Article  Google Scholar 

  7. Faliagka, E., Tsakalidis, A., Tzimas, G.: An integrated e-recruitment system for automated personality mining and applicant ranking. Internet Res. 22(5), 551–568 (2012)

    Article  Google Scholar 

  8. Pillai, R., Sivathanu, B.: Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations. Benchmarking. Int. J. 27(9), 2599–2629 (2020)

    Article  Google Scholar 

  9. Nguyen, H.D., Huynh, T., Hoang, S., Pham, V., Zelinka, I.: Language-oriented sentiment analysis based on the grammar structure and improved self-attention network. In: Proceedings of 15th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2020), Prague, Czech Public (2020)

    Google Scholar 

  10. Mishra, R., Rodriguez, Portillo, V.: An AI based talent acquisition and benchmarking for job. https://arxiv.org/abs/2009.09088

  11. Baad, D.: Automatic job skill taxonomy generation for recruitment systems. Master’s Thesis in ICT Innovation, Aalto University (2019)

    Google Scholar 

  12. Chandrasekaran, B., Josephson, J., Benjamins, V.: What are ontologies, and why do we need them? IEEE Intell. Syst. Appl. 14(1), 20–26 (1999)

    Article  Google Scholar 

  13. Calaresu, M., Shiri, A.: Understanding semantic web: a conceptual model. Libr. Rev. 64(1/2), 82–100 (2015)

    Article  Google Scholar 

  14. Salatino, A.A., Osborne, F., Thanapalasingam, T., Motta, E.: The CSO classifier: ontology-driven detection of research topics in scholarly articles. In: Doucet, A., Isaac, A., Golub, K., Aalberg, T., Jatowt, A. (eds.) TPDL 2019. LNCS, vol. 11799, pp. 296–311. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30760-8_26

    Chapter  Google Scholar 

  15. Tomas Mikolov, T., Chen, K., Corrado, G.S., Dean, J.: Efficient estimation of word representations in vector space. In: Proceedings of the International Conference on Learning Representations (ICLR 2013), AZ, USA (2013)

    Google Scholar 

  16. Salatino, A., Osborne, F.: How to use the CSO Classifier in other domains. Zenodo (2019). http://doi.org/10.5281/zenodo.3459286

  17. Dice: https://www.dice.com/. Accessed 25 Jan 2021

  18. Stackoverflow: https://stackoverflow.com/. Accessed 25 Jan 2021

  19. ESCO: https://ec.europa.eu/esco/portal. Accessed 25 Jan 2021

  20. Skill2Vec Dataset: https://github.com/duyet/skill2vec-dataset. Accessed 25 Jan 2021

  21. Gugnani, A., Kasireddy, V., Karthikeyan. P.: Generating unified candidate skill graph for career path recommendation. In: Proceedings of 2018 IEEE International Conference on Data Mining Workshops (ICDMW 2018), Singapore (2018)

    Google Scholar 

  22. Stackshare: https://www.stackshare.io. Accessed 25 Jan 2021

  23. OCR: https://en.wikipedia.org/wiki/Optical_character_recognition

  24. OpenCV: https://opencv.org/. Accessed 25 Jan 2021

  25. Tesseract OCR: https://github.com/tesseract-ocr/tesseract. Accessed 25 Jan 2021

  26. Fischer, A., Riesen, K., Bunke, H.: Improved quadratic time approximation of graph edit distance by combining Hausdorff matching and greedy assignment. Pattern Recogn. Lett. 87, 55–62 (2017)

    Article  Google Scholar 

  27. TopCV: https://www.topcv.vn/. Accessed 25 Jan 2021

  28. Indeed: https://vn.indeed.com/?r=us. Accessed 25 Jan 2021

  29. Pham, X.T., Tran, T.V., Nguyen, V., et al.: Build a search engine for the knowledge of the course about Introduction to Programming based on ontology Rela-model. In: Proceedings of 12th International Conference on Knowledge and Systems Engineering (KSE 2020), Can Tho, Vietnam, pp. 207–212 (2020)

    Google Scholar 

  30. Nguyen, H., Tran, D., Pham, H., Pham, V.: Design an intelligent system to automatically tutor the method for solving problems. Int. J. Integr. Eng. (IJIE) 12(7), 211–223 (2020)

    Google Scholar 

  31. Huynh, A., Nguyen, B.T., Nguyen, H.T, Vu, S., Nguyen, H.: A method of deep reinforcement learning for simulated autonomous vehicle control. In: Proceedings of 16th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2021), Online streaming, pp. 372–379 (2021)

    Google Scholar 

Download references

Acknowledgement

This research is funded by Vietnam National University HoChiMinh City (VNU-HCM) under grant number DSC2021-26-07.

Author information

Authors and Affiliations

  1. University of Information Technology, Ho Chi Minh City, Vietnam

    Tung T. Phan, Vinh Q. Pham, Hien D. Nguyen, Anh T. Huynh & Dung A. Tran

  2. Vietnam National University, Ho Chi Minh City, Vietnam

    Tung T. Phan, Vinh Q. Pham, Hien D. Nguyen, Anh T. Huynh & Dung A. Tran

  3. Sai Gon University, Ho Chi Minh City, Vietnam

    Vuong T. Pham

Authors
  1. Tung T. Phan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vinh Q. Pham
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hien D. Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Anh T. Huynh
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dung A. Tran
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Vuong T. Pham
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hien D. Nguyen .

Editor information

Editors and Affiliations

  1. i-SOMET Incorporate Association, Morioka, Japan

    Hamido Fujita

  2. Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Ali Selamat

  3. Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  4. Texas State University San Marcos, San Marcos, TX, USA

    Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Phan, T.T., Pham, V.Q., Nguyen, H.D., Huynh, A.T., Tran, D.A., Pham, V.T. (2021). Ontology-Based Resume Searching System for Job Applicants in Information Technology. In: Fujita, H., Selamat, A., Lin, J.CW., Ali, M. (eds) Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices. IEA/AIE 2021. Lecture Notes in Computer Science(), vol 12798. Springer, Cham. https://doi.org/10.1007/978-3-030-79457-6_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-79457-6_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79456-9

  • Online ISBN: 978-3-030-79457-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation