Human resource optimisation through semantically enriched data-Reference-Cited by-同舟云学术

Human resource optimisation through semantically enriched data

Published:2017-12-20 Issue:8 Volume:56 Page:2855-2877
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Arena Damiano¹^ORCID,Tsolakis Apostolos Charalampos²^ORCID,Zikos Stylianos²^ORCID,Krinidis Stelios²^ORCID,Ziogou Chrysovalantou³^ORCID,Ioannidis Dimosthenis²^ORCID,Voutetakis Spyros³^ORCID,Tzovaras Dimitrios²^ORCID,Kiritsis Dimitris¹^ORCID

Affiliation:

1. École Politechnique Fédérale de Lausanne (EPFL), SCI-STI-DK ME, Lausanne, Switzerland

2. Centre for Research and Technology Hellas (CERTH), Chemical Process and Energy Resources Institute (CPERI), Thessaloniki, Greece

3. Centre for Research and Technology Hellas (CERTH), Information Technologies Institute (ITI), Thessaloniki, Greece

Funder

EU H2020 – IA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2017.1415468

Reference64 articles.

1. Building Ontologies with Basic Formal Ontology

2. An intelligent framework for productivity assessment and analysis of human resource from resilience engineering, motivational factors, HSE and ergonomics perspectives

3. OntoSTEP: Enriching product model data using ontologies

4. Metadata analysis of knowledge management in supply chain

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