OntoJob: Automated Ontology Learning from Labor Market Data

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Authors

  • Jarno Vrolijk
  • Stefan T. Mol
  • C. Weber
  • Mohammadreza Tavakoli
  • Gabor Kismihok
  • Mauro Pelucchi

External Research Organisations

  • University of Amsterdam
  • German National Library of Science and Technology (TIB)
  • University of Siegen
  • Emsi Burning Glass
View graph of relations

Details

Original languageEnglish
Title of host publicationProceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages195-200
Number of pages6
ISBN (electronic)9781665434188
Publication statusPublished - 2022
Externally publishedYes
Event16th IEEE International Conference on Semantic Computing, ICSC 2022 - Virtual, Online, United States
Duration: 26 Jan 2022 → 28 Jan 2022

Publication series

NameProceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022

Abstract

Due to the rapidly changing labor market and the consequently widening information gap between the labor market and education, there is a need for methods that can tackle, or at least ease, the construction of labor market ontologies. The current study set out to examine the viability of Ontology Learning (OL) methods for the (semi-)automated construction of labor market ontologies and / or taxonomies. The purpose of this paper is to propose an unsupervised framework, OntoJob, that can identify and extract from raw vacancy text instances, attributes, and relations, such as job titles, worker qualities, and the non-Taxonomic 'is-A' relations between those concepts, and convert those to an expressive descriptive logic. Evaluation of the extracted worker qualities from OntoJob, using a small sample of 5621 job postings representing 1048 occupations, showed an overall lexical precision of 0.36 and recall of 0.22.

Keywords

    labor market intelligence, ontology engineering, ontology learning

ASJC Scopus subject areas

Cite this

OntoJob: Automated Ontology Learning from Labor Market Data. / Vrolijk, Jarno; Mol, Stefan T.; Weber, C. et al.
Proceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 195-200 (Proceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Vrolijk, J, Mol, ST, Weber, C, Tavakoli, M, Kismihok, G & Pelucchi, M 2022, OntoJob: Automated Ontology Learning from Labor Market Data. in Proceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022. Proceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022, Institute of Electrical and Electronics Engineers Inc., pp. 195-200, 16th IEEE International Conference on Semantic Computing, ICSC 2022, Virtual, Online, United States, 26 Jan 2022. https://doi.org/10.1109/ICSC52841.2022.00040
Vrolijk, J., Mol, S. T., Weber, C., Tavakoli, M., Kismihok, G., & Pelucchi, M. (2022). OntoJob: Automated Ontology Learning from Labor Market Data. In Proceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022 (pp. 195-200). (Proceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSC52841.2022.00040
Vrolijk J, Mol ST, Weber C, Tavakoli M, Kismihok G, Pelucchi M. OntoJob: Automated Ontology Learning from Labor Market Data. In Proceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 195-200. (Proceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022). doi: 10.1109/ICSC52841.2022.00040
Vrolijk, Jarno ; Mol, Stefan T. ; Weber, C. et al. / OntoJob : Automated Ontology Learning from Labor Market Data. Proceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 195-200 (Proceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022).
Download
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