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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

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

Externe Organisationen

  • Rheinische Friedrich-Wilhelms-Universität Bonn
  • Douglas GmbH
  • University of Indonesia
  • Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme (IAIS)
  • Technische Informationsbibliothek (TIB) Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksSemantics2017
UntertitelProceedings of the 13th International Conference on Semantic Systems
Herausgeber/-innenRinke Hoekstra, Tassilo Pellegrini, Rinke Hoekstra, Victor de Boer, Catherine Faron-Zucker
Herausgeber (Verlag)Association for Computing Machinery (ACM)
Seiten25-32
Seitenumfang8
ISBN (elektronisch)9781450352963
PublikationsstatusVeröffentlicht - 11 Sept. 2017
Veranstaltung13th International Conference on Semantic Systems, SEMANTiCS 2017 - Amsterdam, Niederlande
Dauer: 12 Sept. 201713 Sept. 2017

ASJC Scopus Sachgebiete

Zitieren

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. Hrsg. / Rinke Hoekstra; Tassilo Pellegrini; Rinke Hoekstra; Victor de Boer; Catherine Faron-Zucker. Association for Computing Machinery (ACM), 2017. S. 25-32.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-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 (Hrsg.), Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM), S. 25-32, 13th International Conference on Semantic Systems, SEMANTiCS 2017, Amsterdam, Niederlande, 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 (Hrsg.), Semantics2017: Proceedings of the 13th International Conference on Semantic Systems (S. 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, Hrsg., Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM). 2017. S. 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. Hrsg. / Rinke Hoekstra ; Tassilo Pellegrini ; Rinke Hoekstra ; Victor de Boer ; Catherine Faron-Zucker. Association for Computing Machinery (ACM), 2017. S. 25-32
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title = "Ontology-guided job market demand analysis: A cross-sectional study for the data science field",
keywords = "Automatic Keyword Indexing, Co-word Analysis, Job Adverts, Ontology-based Information Extraction",
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AU - Sibarani, Elisa Margareth

AU - Scerri, Simon

AU - Morales, Camilo

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AU - Collarana, Diego

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