Ontology-guided job market demand analysis: A cross-sectional study for the data science field

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Elisa Margareth Sibarani
  • Simon Scerri
  • Camilo Morales
  • Sören Auer
  • Diego Collarana

External Research Organisations

  • University of Bonn
  • Douglas GmbH
  • University of Indonesia
  • Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS)
  • German National Library of Science and Technology (TIB)
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Details

Original languageEnglish
Title of host publicationSemantics2017
Subtitle of host publicationProceedings of the 13th International Conference on Semantic Systems
EditorsRinke Hoekstra, Tassilo Pellegrini, Rinke Hoekstra, Victor de Boer, Catherine Faron-Zucker
PublisherAssociation for Computing Machinery (ACM)
Pages25-32
Number of pages8
ISBN (electronic)9781450352963
Publication statusPublished - 11 Sept 2017
Event13th International Conference on Semantic Systems, SEMANTiCS 2017 - Amsterdam, Netherlands
Duration: 12 Sept 201713 Sept 2017

Keywords

    Automatic Keyword Indexing, Co-word Analysis, Job Adverts, Ontology-based Information Extraction

ASJC Scopus subject areas

Cite this

Ontology-guided job market demand analysis: A cross-sectional study for the data science field. / Sibarani, Elisa Margareth; Scerri, Simon; Morales, Camilo et al.
Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. ed. / Rinke Hoekstra; Tassilo Pellegrini; Rinke Hoekstra; Victor de Boer; Catherine Faron-Zucker. Association for Computing Machinery (ACM), 2017. p. 25-32.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Sibarani, EM, Scerri, S, Morales, C, Auer, S & Collarana, D 2017, Ontology-guided job market demand analysis: A cross-sectional study for the data science field. in R Hoekstra, T Pellegrini, R Hoekstra, V de Boer & C Faron-Zucker (eds), Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM), pp. 25-32, 13th International Conference on Semantic Systems, SEMANTiCS 2017, Amsterdam, Netherlands, 12 Sept 2017. https://doi.org/10.1145/3132218.3132228
Sibarani, E. M., Scerri, S., Morales, C., Auer, S., & Collarana, D. (2017). Ontology-guided job market demand analysis: A cross-sectional study for the data science field. In R. Hoekstra, T. Pellegrini, R. Hoekstra, V. de Boer, & C. Faron-Zucker (Eds.), Semantics2017: Proceedings of the 13th International Conference on Semantic Systems (pp. 25-32). Association for Computing Machinery (ACM). https://doi.org/10.1145/3132218.3132228
Sibarani EM, Scerri S, Morales C, Auer S, Collarana D. Ontology-guided job market demand analysis: A cross-sectional study for the data science field. In Hoekstra R, Pellegrini T, Hoekstra R, de Boer V, Faron-Zucker C, editors, Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM). 2017. p. 25-32 doi: 10.1145/3132218.3132228
Sibarani, Elisa Margareth ; Scerri, Simon ; Morales, Camilo et al. / Ontology-guided job market demand analysis : A cross-sectional study for the data science field. Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. editor / Rinke Hoekstra ; Tassilo Pellegrini ; Rinke Hoekstra ; Victor de Boer ; Catherine Faron-Zucker. Association for Computing Machinery (ACM), 2017. pp. 25-32
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