An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.

Journal: Nutrients
PMID: 31181762

Abstract

BACKGROUND: The use of linked data in the Semantic Web is a promising approach to add value to nutrition research. An ontology, which defines the logical relationships between well-defined taxonomic terms, enables linking and harmonizing research output. To enable the description of domain-specific output in nutritional epidemiology, we propose the Ontology for Nutritional Epidemiology (ONE) according to authoritative guidance for nutritional epidemiology.

Authors

  • Chen Yang
    Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
  • Henry Ambayo
    Department of Food Technology, Safety and Health, Ghent University, 9000 Ghent, Belgium. henryambayo@gmail.com.
  • Bernard De Baets
    KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, 9000 Ghent, Belgium. Bernard.DeBaets@UGent.be.
  • Patrick Kolsteren
    Department of Food Technology, Safety and Health, Ghent University, 9000 Ghent, Belgium. Patrick.Kolsteren@UGent.be.
  • Nattapon Thanintorn
    Department of Pathology and Anatomical Sciences, University of Missouri, Columbia, MO 65203, USA. nthanintorn@hotmail.com.
  • Dana Hawwash
    Department of Food Technology, Safety and Health, Ghent University, 9000 Ghent, Belgium. Dana.Hawwash@UGent.be.
  • Jildau Bouwman
    Netherlands Organization for Applied Scientific Research, NL-2509 Zeist, The Netherlands. jildau.bouwman@tno.nl.
  • Antoon Bronselaer
    Department of Telecommunications and information processing, Ghent University, 9000 Ghent, Belgium. Antoon.Bronselaer@UGent.be.
  • Filip Pattyn
    ONTOFORCE, 9052 Ghent, Belgium. filip.pattyn@ontoforce.com.
  • Carl Lachat
    Department of Food Technology, Safety and Health, Ghent University, 9000 Ghent, Belgium. Carl.Lachat@UGent.be.

Keywords

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