Research Article
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DEVELOPING A TURKISH ONTOLOGY FOR EFFECTIVE RECRUITMENT PROCESS IN HUMAN RESOURCES

Year 2024, Volume: 27 Issue: 2, 401 - 414, 03.06.2024

Selin Bitirim , Duygu Çelik Ertuğrul

https://doi.org/10.17780/ksujes.1390172

Abstract

From past to present, job candidates create their resumes when applying for a job and send them to the Human Resources (HR) department of companies for assessment. Resumes are individuals' most important documents for their employment goals, usually uploaded in unstructured format. Ontologies (Guarino et al., 2009), a core component of Semantic Web technology (Berners-Lee et al., 2001), contain machine-interpretable information and provide solutions for making unstructured data conversions more structured. In this study, Resume Recommender System Ontology (RRSO) created in Turkish, which can be integrated into the Job Recommender Systems of HRs of large companies located in Turkey, is presented. RRSO, which is the outcome of the study, is one of the rare Turkish ontologies in this field, and we believe that it can be a base block for JRSs that support unbiased recruitment and used in the decision support stages of recruitment, especially in units of large companies with intensive business processes such as HR.

Keywords

Artificial Intelligence, Semantic Web, Ontology, Human Resources, Resume, Decision Support Systems

References

  • Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The semantic web. Scientific American, 284(5), 34-43. https://doi.org/10.4102/sajim.v6i1.297
  • Çelik, D., Karakas, A., Bal, G., Gültunca, C., Elçi, A., Buluz, B., & Alevli, M. C. (2013). Towards an information extraction system based on ontology to match resumes and jobs. In 2013 IEEE 37th annual computer software and applications conference workshops (pp. 333-338). IEEE. https://doi.org/10.1109/COMPSACW.2013.60
  • Guarino, N., Oberle, D., & Staab, S. (2009). What is an ontology? Handbook on ontologies, 1-17. https://doi.org/10.1007/978-3-540-92673-3_0
  • Guo, Shiqiang & Alamudun, Folami & Hammond, Tracy. (2016). RésuMatcher: A Personalized Résumé-Job Matching System. Expert Systems with Applications. https://doi.org/60. 10.1016/j.eswa.2016.04.013.
  • Hong, W., Zheng, S., Wang, H., & Shi, J. (2013). A job recommender system based on user clustering. J. Comput., 8(8), 1960-1967. https://doi.org/10.4304/jcp.8.8.1960-1967
  • Horridge, M., & Bechhofer, S. (2011). The OWL API: A java api for owl ontologies. Semantic web, 2(1), 11-21. https://doi.org/10.3233/SW-2011-0025
  • Kariyer.Net Web Sitesi, https://www.kariyer.net, LVD: 13-01-2023.
  • Lantow, B. (2016). OntoMetrics: Putting Metrics into Use for Ontology Evaluation. In KEOD (pp. 186-191). https://doi.org/10.5220/0006084601860191
  • Cardoso, J., & Pinto, A. M. (2015). The web ontology language (OWL) and its applications. In Encyclopedia of Information Science and Technology, Third Edition (pp. 7662-7673). IGI Global. https://doi.org/10.4018/978-1-4666-5888-2.ch755
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  • Mishra, R., & Rathi, S. (2020). Efficient and scalable job recommender system using collaborative filtering. In ICDSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications (pp. 842-856). Springer Singapore. Casper proactive prospect. https://doi.org/10.1007/978-981-15-1420-3_91
  • Nguyen, C. D., Vo, K. D., & Nguyen, D. T. (2013). Supporting career counseling with user modeling and job matching. In Advanced computational methods for knowledge engineering (pp. 281-292). Springer International Publishing. https://doi.org/10.1007/978-3-319-00293-4_21
  • O’connor, M., Knublauch, H., Tu, S., & Musen, M. (2005). Writing rules for the semantic web using SWRL and Jess. Protégé With Rules WS, Madrid, Mevcut: https://www.researchgate.net/profile/Martin-Oconnor-7. https://doi.org/10.1007/11574620_69
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  • Rimitha, S. R., Abburu, V., Kiranmai, A., Marimuthu, C., & Chandrasekaran, K. (2019). Improving Job Recommendation Using Ontological Modeling and User Profiles. In 2019 Fifteenth International Conference on Information Processing (ICINPRO) (pp. 1-8). IEEE. https://doi.org/10.1109/ICInPro47689.2019.9092271
  • Salazar, O. M., Jaramillo, J. C., Ovalle, D. A., & Guzmán, J. A. (2015). A case-based multi-agent and recommendation environment to improve the e-recruitment process. In Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability-The PAAMS Collection: International Workshops of PAAMS 2015, Salamanca, Spain, June 3-4, 2015. Proceedings 13 (pp. 389-397). Springer International Publishing. https://doi.org/10.1007/978-3-319-19033-4_34
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  • Siting, Z., Wenxing, H., Ning, Z., & Fan, Y. (2012). Job recommender systems: a survey. In 2012 7th International Conference on Computer Science & Education (ICCSE) (pp. 920-924). IEEE. https://doi.org/10.1109/ICCSE.2012.6295216
  • Tamburri, D. A., Van Den Heuvel, W. J., & Garriga, M. (2020). Dataops for societal intelligence: a data pipeline for labor market skills extraction and matching. In 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI) (pp. 391-394). IEEE. https://doi.org/10.1109/IRI49571.2020.00063
  • Vikipedia Meslekler Listesi, https://tr.wikipedia.org/wiki/Meslekler_listesi, Son Erişim: 27.10.2023
  • Vikipedia Şirketler Listesi, https://tr.wikipedia.org/wiki/T%C3%BCrkiye_merkezli_%C5%9Firketler_listesi, Son Erişim: 27.10.2023
  • Vikipedia Üniversiteler Liste, https://tr.wikipedia.org/wiki/T%C3%BCrkiye%27deki_%C3%BCniversiteler_listesi, Son Erişim: 27.10.2023
  • Vikipedia Ünvanlar Listesi, https://tr.wikipedia.org/wiki/Meslek_unvanlar%C4%B1_listesi, Son Erişim: 27.10.2023
  • YÖK Üniversiteler Listesi, https://www.yok.gov.tr/universiteler/universitelerimiz, Son Erişim: 27.10.2023
  • Zhou, W., Li, L., Luo, M., & Chou, W. (2014). REST API design patterns for SDN northbound API. In 2014 28th international conference on advanced information networking and applications workshops (pp. 358-365). IEEE. https://doi.org/10.1109/WAINA.2014.153

İNSAN KAYNAKLARINDA ETKİLİ İŞE ALIM SÜRECİ İÇİN TÜRKÇE BİR ONTOLOJİ GELİŞTİRİLMESİ

Year 2024, Volume: 27 Issue: 2, 401 - 414, 03.06.2024

Selin Bitirim , Duygu Çelik Ertuğrul

https://doi.org/10.17780/ksujes.1390172

Abstract

Geçmişten günümüze insanlar iş başvurusunda bulunurken özgeçmişlerini oluşturmakta ve değerlendirilmek üzere şirketlerin İnsan Kaynakları (IK) birimine göndermektedir. Özgeçmişler, bireylerin iş bulma hedefleri için genelde yapısız formatta yüklenen en önemli belgeleridir. Anlamsal Web teknolojisinin (Berners-Lee vd., 2001) temel bileşeni olan Ontolojiler (Guarino vd., 2009), makineler tarafından yorumlanabilir bilgiler içerir ve yapısız veri kaynaklarını daha yapısal hale sokmak için çözümler sağlar. Bu çalışmada, Türkiye'de yerleşik büyük şirketlerin insan kaynaklarının İş Önerme sistemlerine entegre olabilecek, Türkçe olarak oluşturulmuş Özgeçmiş Öneri Sistemi Ontolojisi (Resume Recommender System Ontology —RRSO) sunulmaktadır. Çalışmanın çıktısı olan RRSO, bu alanda yapılan nadir Türkçe ontolojilerden biri olup, özellikle büyük şirketlerin IK gibi yoğun iş süreçlerini barındıran birimlerinde önyargısız işe alımı destekleyen ve işe alımın karar destek aşamalarında çalıştırılan JRS’ler için temel bir yapı taşı olabilecektir.

Keywords

Yapay Zekâ Anlamsal Web Ontoloji İnsan Kaynakları Özgeçmiş Karar Destek Sistemleri

Ethical Statement

Bu çalışmanın tüm hazırlanma süreçlerinde etik kurallara riayet edildiğini yazar(lar) beyan eder. Aksi bir durumun tespiti halinde Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi’nin hiçbir sorumluluğu olmayıp, tüm sorumluluk makale yazar(lar)ına aittir.

Supporting Institution

DOĞU AKDENİZ ÜNİVERSİTESİ

References

  • Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The semantic web. Scientific American, 284(5), 34-43. https://doi.org/10.4102/sajim.v6i1.297
  • Çelik, D., Karakas, A., Bal, G., Gültunca, C., Elçi, A., Buluz, B., & Alevli, M. C. (2013). Towards an information extraction system based on ontology to match resumes and jobs. In 2013 IEEE 37th annual computer software and applications conference workshops (pp. 333-338). IEEE. https://doi.org/10.1109/COMPSACW.2013.60
  • Guarino, N., Oberle, D., & Staab, S. (2009). What is an ontology? Handbook on ontologies, 1-17. https://doi.org/10.1007/978-3-540-92673-3_0
  • Guo, Shiqiang & Alamudun, Folami & Hammond, Tracy. (2016). RésuMatcher: A Personalized Résumé-Job Matching System. Expert Systems with Applications. https://doi.org/60. 10.1016/j.eswa.2016.04.013.
  • Hong, W., Zheng, S., Wang, H., & Shi, J. (2013). A job recommender system based on user clustering. J. Comput., 8(8), 1960-1967. https://doi.org/10.4304/jcp.8.8.1960-1967
  • Horridge, M., & Bechhofer, S. (2011). The OWL API: A java api for owl ontologies. Semantic web, 2(1), 11-21. https://doi.org/10.3233/SW-2011-0025
  • Kariyer.Net Web Sitesi, https://www.kariyer.net, LVD: 13-01-2023.
  • Lantow, B. (2016). OntoMetrics: Putting Metrics into Use for Ontology Evaluation. In KEOD (pp. 186-191). https://doi.org/10.5220/0006084601860191
  • Cardoso, J., & Pinto, A. M. (2015). The web ontology language (OWL) and its applications. In Encyclopedia of Information Science and Technology, Third Edition (pp. 7662-7673). IGI Global. https://doi.org/10.4018/978-1-4666-5888-2.ch755
  • MEB Okullar ve Diğer Kurumlar Arama Sitesi, https://www.meb.gov.tr/baglantilar/okullar/index.php, Son Erişim: 27.10.2023
  • MEB Sektörler Listesi, https://meslegimhayatim.meb.gov.tr/kariyer/sektorler, Son Erişim: 27.10.2023 Memurlar Sitesi, www.memurlar.net/common/news/documents/458260/meslekyuksekokullari.pdf, Son Erişim: 27.10.2023
  • Mishra, R., & Rathi, S. (2020). Efficient and scalable job recommender system using collaborative filtering. In ICDSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications (pp. 842-856). Springer Singapore. Casper proactive prospect. https://doi.org/10.1007/978-981-15-1420-3_91
  • Nguyen, C. D., Vo, K. D., & Nguyen, D. T. (2013). Supporting career counseling with user modeling and job matching. In Advanced computational methods for knowledge engineering (pp. 281-292). Springer International Publishing. https://doi.org/10.1007/978-3-319-00293-4_21
  • O’connor, M., Knublauch, H., Tu, S., & Musen, M. (2005). Writing rules for the semantic web using SWRL and Jess. Protégé With Rules WS, Madrid, Mevcut: https://www.researchgate.net/profile/Martin-Oconnor-7. https://doi.org/10.1007/11574620_69
  • OntoMetric Web Portal, OntoMetric tool, Web adres: https://ontometrics.informatik.uni-rostock.de/ontologymetrics/index.jsp, Son Erişim: 13.11.2023.
  • Rimitha, S. R., Abburu, V., Kiranmai, A., Marimuthu, C., & Chandrasekaran, K. (2019). Improving Job Recommendation Using Ontological Modeling and User Profiles. In 2019 Fifteenth International Conference on Information Processing (ICINPRO) (pp. 1-8). IEEE. https://doi.org/10.1109/ICInPro47689.2019.9092271
  • Salazar, O. M., Jaramillo, J. C., Ovalle, D. A., & Guzmán, J. A. (2015). A case-based multi-agent and recommendation environment to improve the e-recruitment process. In Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability-The PAAMS Collection: International Workshops of PAAMS 2015, Salamanca, Spain, June 3-4, 2015. Proceedings 13 (pp. 389-397). Springer International Publishing. https://doi.org/10.1007/978-3-319-19033-4_34
  • Secret.CV Web Sitesi, https://www.secretcv.com/, Son Erişim: 27.10.2023.
  • Siting, Z., Wenxing, H., Ning, Z., & Fan, Y. (2012). Job recommender systems: a survey. In 2012 7th International Conference on Computer Science & Education (ICCSE) (pp. 920-924). IEEE. https://doi.org/10.1109/ICCSE.2012.6295216
  • Tamburri, D. A., Van Den Heuvel, W. J., & Garriga, M. (2020). Dataops for societal intelligence: a data pipeline for labor market skills extraction and matching. In 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI) (pp. 391-394). IEEE. https://doi.org/10.1109/IRI49571.2020.00063
  • Vikipedia Meslekler Listesi, https://tr.wikipedia.org/wiki/Meslekler_listesi, Son Erişim: 27.10.2023
  • Vikipedia Şirketler Listesi, https://tr.wikipedia.org/wiki/T%C3%BCrkiye_merkezli_%C5%9Firketler_listesi, Son Erişim: 27.10.2023
  • Vikipedia Üniversiteler Liste, https://tr.wikipedia.org/wiki/T%C3%BCrkiye%27deki_%C3%BCniversiteler_listesi, Son Erişim: 27.10.2023
  • Vikipedia Ünvanlar Listesi, https://tr.wikipedia.org/wiki/Meslek_unvanlar%C4%B1_listesi, Son Erişim: 27.10.2023
  • YÖK Üniversiteler Listesi, https://www.yok.gov.tr/universiteler/universitelerimiz, Son Erişim: 27.10.2023
  • Zhou, W., Li, L., Luo, M., & Chou, W. (2014). REST API design patterns for SDN northbound API. In 2014 28th international conference on advanced information networking and applications workshops (pp. 358-365). IEEE. https://doi.org/10.1109/WAINA.2014.153
There are 26 citations in total.

Details

Primary Language Turkish
Subjects Information Modelling, Management and Ontologies, Computer System Software
Journal Section Computer Engineering
Authors

Selin Bitirim 0000-0002-3575-5855

Duygu Çelik Ertuğrul 0000-0003-1380-705X

Publication Date June 3, 2024
Submission Date November 13, 2023
Acceptance Date February 19, 2024
Published in Issue Year 2024Volume: 27 Issue: 2

Cite

APA Bitirim, S., & Çelik Ertuğrul, D. (2024). İNSAN KAYNAKLARINDA ETKİLİ İŞE ALIM SÜRECİ İÇİN TÜRKÇE BİR ONTOLOJİ GELİŞTİRİLMESİ. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 27(2), 401-414. https://doi.org/10.17780/ksujes.1390172
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