A health consumer ontology of fast food information.
food technology
knowledge representation
public healthcare
semantic web
Journal
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
ISSN: 2156-1125
Titre abrégé: Proceedings (IEEE Int Conf Bioinformatics Biomed)
Pays: United States
ID NLM: 101525347
Informations de publication
Date de publication:
Dec 2020
Dec 2020
Historique:
entrez:
30
8
2021
pubmed:
31
8
2021
medline:
31
8
2021
Statut:
ppublish
Résumé
A variety of severe health issues can be attributed to poor nutrition and poor eating behaviors. Research has explored the impact of nutritional knowledge on an individual's inclination to purchase and consume certain foods. This paper introduces the Ontology of Fast Food Facts, a knowledge base that models consumer nutritional data from major fast food establishments. This artifact serves as an aggregate knowledge base to centralize nutritional information for consumers. As a semantically-linked data source, the Ontology of Fast Food Facts could engender methods and tools to further the research and impact the health consumers' diet and behavior, which is a factor in many severe health outcomes. We describe the initial development of this ontology and future directions we plan with this knowledge base.
Identifiants
pubmed: 34457376
doi: 10.1109/bibm49941.2020.9313375
pmc: PMC8389188
mid: NIHMS1730598
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1714-1719Subventions
Organisme : NLM NIH HHS
ID : R00 LM012104
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI130460
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM011829
Pays : United States
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