How Can Personal Knowledge Graphs Contribute to Precision Nutrition?

Mauricio Espinoza Mejía; Víctor Hugo Saquicela Galarza; Victoria Abril Ulloa

doi:10.1007/978-3-031-52255-0_23

How Can Personal Knowledge Graphs Contribute to Precision Nutrition?

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Nutrition is undoubtedly a significant factor in disease prevention, and keeping track of it is incredibly important for our overall health. One of the latest technologies that has emerged to help healthcare professionals and users make informed decisions is the Knowledge Graph (KG). These models have been used to implement various knowledge-based systems related to nutrition, taking advantage of the vast amount of information about foods, nutrients, dietary recommendations, and healthy eating patterns available in multiple media. However, a KG needs to incorporate individual information, represented by a personal knowledge graph (PKG), to facilitate reasoning and decision-making about an individual's diet or nutrition plan. This article introduces the concept of a Personal Nutritional Knowledge Graph (PNKG), a structured information resource containing data related to an individual's specific nutritional aspects. This study analyzes the concepts and requirements and proposes a generic architecture to assist developers in building adaptive personalized nutrition advice systems.

Original language	English
Title of host publication	Emerging Research in Intelligent Systems - Proceedings of the CIT 2023
Editors	Gonzalo Fernando Olmedo Cifuentes, Diego Gustavo Arcos Avilés, Hernán Vinicio Lara Padilla
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	323-337
Number of pages	15
Volume	1
ISBN (Print)	9783031522543
DOIs	https://doi.org/10.1007/978-3-031-52255-0_23
State	Published - 2024
Event	18th Multidisciplinary International Congress on Science and Technology, CIT 2023 - Sangolqui, Ecuador Duration: 13 Nov 2023 → 17 Nov 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	902
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	18th Multidisciplinary International Congress on Science and Technology, CIT 2023
Country/Territory	Ecuador
City	Sangolqui
Period	13/11/23 → 17/11/23

Keywords

Intelligent systems
Personal Knowledge Graph
Precision Nutrition

Access to Document

10.1007/978-3-031-52255-0_23

Cite this

Espinoza Mejía, M., Saquicela Galarza, V. H., & Abril Ulloa, V. (2024). How Can Personal Knowledge Graphs Contribute to Precision Nutrition? In G. F. Olmedo Cifuentes, D. G. Arcos Avilés, & H. V. Lara Padilla (Eds.), Emerging Research in Intelligent Systems - Proceedings of the CIT 2023 (Vol. 1, pp. 323-337). (Lecture Notes in Networks and Systems; Vol. 902). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-52255-0_23

Espinoza Mejía, Mauricio ; Saquicela Galarza, Víctor Hugo ; Abril Ulloa, Victoria. / How Can Personal Knowledge Graphs Contribute to Precision Nutrition?. Emerging Research in Intelligent Systems - Proceedings of the CIT 2023. editor / Gonzalo Fernando Olmedo Cifuentes ; Diego Gustavo Arcos Avilés ; Hernán Vinicio Lara Padilla. Vol. 1 Springer Science and Business Media Deutschland GmbH, 2024. pp. 323-337 (Lecture Notes in Networks and Systems).

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abstract = "Nutrition is undoubtedly a significant factor in disease prevention, and keeping track of it is incredibly important for our overall health. One of the latest technologies that has emerged to help healthcare professionals and users make informed decisions is the Knowledge Graph (KG). These models have been used to implement various knowledge-based systems related to nutrition, taking advantage of the vast amount of information about foods, nutrients, dietary recommendations, and healthy eating patterns available in multiple media. However, a KG needs to incorporate individual information, represented by a personal knowledge graph (PKG), to facilitate reasoning and decision-making about an individual's diet or nutrition plan. This article introduces the concept of a Personal Nutritional Knowledge Graph (PNKG), a structured information resource containing data related to an individual's specific nutritional aspects. This study analyzes the concepts and requirements and proposes a generic architecture to assist developers in building adaptive personalized nutrition advice systems.",

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Espinoza Mejía, M , Saquicela Galarza, VH & Abril Ulloa, V 2024, How Can Personal Knowledge Graphs Contribute to Precision Nutrition? in GF Olmedo Cifuentes, DG Arcos Avilés & HV Lara Padilla (eds), Emerging Research in Intelligent Systems - Proceedings of the CIT 2023. vol. 1, Lecture Notes in Networks and Systems, vol. 902, Springer Science and Business Media Deutschland GmbH, pp. 323-337, 18th Multidisciplinary International Congress on Science and Technology, CIT 2023, Sangolqui, Ecuador, 13/11/23. https://doi.org/10.1007/978-3-031-52255-0_23

How Can Personal Knowledge Graphs Contribute to Precision Nutrition? / Espinoza Mejía, Mauricio (First Author); Saquicela Galarza, Víctor Hugo ; Abril Ulloa, Victoria (Last Author).
Emerging Research in Intelligent Systems - Proceedings of the CIT 2023. ed. / Gonzalo Fernando Olmedo Cifuentes; Diego Gustavo Arcos Avilés; Hernán Vinicio Lara Padilla. Vol. 1 Springer Science and Business Media Deutschland GmbH, 2024. p. 323-337 (Lecture Notes in Networks and Systems; Vol. 902).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review