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The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications
BACKGROUND: Fast food with its abundance and availability to consumers may have health consequences due to the high calorie intake which is a major contributor to life threatening diseases. Providing nutritional information has some impact on consumer decisions to self regulate and promote healthier...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579612/ https://www.ncbi.nlm.nih.gov/pubmed/34753474 http://dx.doi.org/10.1186/s12911-021-01636-1 |
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author | Amith, Muhammad Onye, Chidinma Ledoux, Tracey Xiong, Grace Tao, Cui |
author_facet | Amith, Muhammad Onye, Chidinma Ledoux, Tracey Xiong, Grace Tao, Cui |
author_sort | Amith, Muhammad |
collection | PubMed |
description | BACKGROUND: Fast food with its abundance and availability to consumers may have health consequences due to the high calorie intake which is a major contributor to life threatening diseases. Providing nutritional information has some impact on consumer decisions to self regulate and promote healthier diets, and thus, government regulations have mandated the publishing of nutritional content to assist consumers, including for fast food. However, fast food nutritional information is fragmented, and we realize a benefit to collate nutritional data to synthesize knowledge for individuals. METHODS: We developed the ontology of fast food facts as an opportunity to standardize knowledge of fast food and link nutritional data that could be analyzed and aggregated for the information needs of consumers and experts. The ontology is based on metadata from 21 fast food establishment nutritional resources and authored in OWL2 using Protégé. RESULTS: Three evaluators reviewed the logical structure of the ontology through natural language translation of the axioms. While there is majority agreement (76.1% pairwise agreement) of the veracity of the ontology, we identified 103 out of the 430 statements that were erroneous. We revised the ontology and publicably published the initial release of the ontology. The ontology has 413 classes, 21 object properties, 13 data properties, and 494 logical axioms. CONCLUSION: With the initial release of the ontology of fast food facts we discuss some future visions with the continued evolution of this knowledge base, and the challenges we plan to address, like the management and publication of voluminous amount of semantically linked fast food nutritional data. |
format | Online Article Text |
id | pubmed-8579612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85796122021-11-10 The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications Amith, Muhammad Onye, Chidinma Ledoux, Tracey Xiong, Grace Tao, Cui BMC Med Inform Decis Mak Research BACKGROUND: Fast food with its abundance and availability to consumers may have health consequences due to the high calorie intake which is a major contributor to life threatening diseases. Providing nutritional information has some impact on consumer decisions to self regulate and promote healthier diets, and thus, government regulations have mandated the publishing of nutritional content to assist consumers, including for fast food. However, fast food nutritional information is fragmented, and we realize a benefit to collate nutritional data to synthesize knowledge for individuals. METHODS: We developed the ontology of fast food facts as an opportunity to standardize knowledge of fast food and link nutritional data that could be analyzed and aggregated for the information needs of consumers and experts. The ontology is based on metadata from 21 fast food establishment nutritional resources and authored in OWL2 using Protégé. RESULTS: Three evaluators reviewed the logical structure of the ontology through natural language translation of the axioms. While there is majority agreement (76.1% pairwise agreement) of the veracity of the ontology, we identified 103 out of the 430 statements that were erroneous. We revised the ontology and publicably published the initial release of the ontology. The ontology has 413 classes, 21 object properties, 13 data properties, and 494 logical axioms. CONCLUSION: With the initial release of the ontology of fast food facts we discuss some future visions with the continued evolution of this knowledge base, and the challenges we plan to address, like the management and publication of voluminous amount of semantically linked fast food nutritional data. BioMed Central 2021-11-09 /pmc/articles/PMC8579612/ /pubmed/34753474 http://dx.doi.org/10.1186/s12911-021-01636-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Amith, Muhammad Onye, Chidinma Ledoux, Tracey Xiong, Grace Tao, Cui The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications |
title | The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications |
title_full | The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications |
title_fullStr | The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications |
title_full_unstemmed | The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications |
title_short | The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications |
title_sort | ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579612/ https://www.ncbi.nlm.nih.gov/pubmed/34753474 http://dx.doi.org/10.1186/s12911-021-01636-1 |
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