Ontology for Personalized Recipe Recommendations Supporting Sustainability, Personal Preferences, and Health Restrictions

Donika Xhani; Renata Guizzardi

doi:10.1007/978-3-032-08623-5_20

Ontology for Personalized Recipe Recommendations Supporting Sustainability, Personal Preferences, and Health Restrictions

Industrial Engineering & Business Information Systems

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

1 Citation (Scopus)

30 Downloads (Pure)

Abstract

Many people consume food without having enough information about its nutritional value, environmental impact, or how it aligns with their personal preferences, health, and sustainability goals. With increasing concerns about human health and sustainability, there is a growing need for tools that help individuals make better-informed food choices. This paper introduces the SustainHealthyFood ontology to be used as a reference model for sustainable and healthy food consumption. The ontology serves two key purposes: (1) helping users make informed decisions by providing insights into food nutrients and Eco-Scores, enabling them to assess both health and environmental impact; and (2) facilitating personalized food recommendations, such as recipe suggestions, tailored to individual preferences, personal attributes, dietary needs, health conditions, and goals. The SustainHealthyFood ontology consists of four OntoUML conceptual models focusing on: (1) Food Nutrition, (2) Health Status and Diet, (3) Environmental Sustainability, and (4) Explainable Recommendations. The operational ontology is implemented in OWL, with instances populated from existing datasets in the domains of food and environmental sustainability. For ontology testing, SPARQL queries are used to assess whether the ontology meets the competency questions. This paper describes and evaluates the SustainHealthyFood ontology, presents related work, and discusses benefits, limitations, and future work.

Original language	English
Title of host publication	Conceptual Modeling
Subtitle of host publication	44th International Conference, ER 2025, Poitiers, France, October 20–23, 2025, Proceedings
Editors	Dominik Bork, Roman Lukyanenko, Shazia Sadiq, Ladjel Bellatreche, Oscar Pastor
Place of Publication	Cham
Publisher	Springer
Pages	376-392
Number of pages	17
ISBN (Electronic)	978-3-032-08623-5
ISBN (Print)	978-3-032-08622-8
DOIs	https://doi.org/10.1007/978-3-032-08623-5_20
Publication status	Published - 19 Oct 2025
Event	44th International Conference on Conceptual Modeling, ER 2025: Industrial Track, ER Forum, 8th SCME, Doctoral Consortium, Tutorials, Project Exhibitions, Posters and Demos - Futuscope, Poitiers, France Duration: 20 Oct 2025 → 23 Oct 2025 Conference number: 44 https://er2025.ensma.fr/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	16189
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	44th International Conference on Conceptual Modeling, ER 2025
Abbreviated title	ER 2025
Country/Territory	France
City	Poitiers
Period	20/10/25 → 23/10/25
Internet address	https://er2025.ensma.fr/

Keywords

2026 OA procedure
Food
Health
Environmental sustainability
Recommendation
Ontology

Access to Document

10.1007/978-3-032-08623-5_20

978-3-032-08623-5_20Final published version, 5.54 MBLicence: Taverne

Cite this

Xhani, D., & Guizzardi, R. (2025). Ontology for Personalized Recipe Recommendations Supporting Sustainability, Personal Preferences, and Health Restrictions. In D. Bork, R. Lukyanenko, S. Sadiq, L. Bellatreche, & O. Pastor (Eds.), Conceptual Modeling: 44th International Conference, ER 2025, Poitiers, France, October 20–23, 2025, Proceedings (pp. 376-392). (Lecture Notes in Computer Science; Vol. 16189). Springer. https://doi.org/10.1007/978-3-032-08623-5_20

Xhani, Donika ; Guizzardi, Renata. / Ontology for Personalized Recipe Recommendations Supporting Sustainability, Personal Preferences, and Health Restrictions. Conceptual Modeling: 44th International Conference, ER 2025, Poitiers, France, October 20–23, 2025, Proceedings. editor / Dominik Bork ; Roman Lukyanenko ; Shazia Sadiq ; Ladjel Bellatreche ; Oscar Pastor. Cham : Springer, 2025. pp. 376-392 (Lecture Notes in Computer Science).

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abstract = "Many people consume food without having enough information about its nutritional value, environmental impact, or how it aligns with their personal preferences, health, and sustainability goals. With increasing concerns about human health and sustainability, there is a growing need for tools that help individuals make better-informed food choices. This paper introduces the SustainHealthyFood ontology to be used as a reference model for sustainable and healthy food consumption. The ontology serves two key purposes: (1) helping users make informed decisions by providing insights into food nutrients and Eco-Scores, enabling them to assess both health and environmental impact; and (2) facilitating personalized food recommendations, such as recipe suggestions, tailored to individual preferences, personal attributes, dietary needs, health conditions, and goals. The SustainHealthyFood ontology consists of four OntoUML conceptual models focusing on: (1) Food Nutrition, (2) Health Status and Diet, (3) Environmental Sustainability, and (4) Explainable Recommendations. The operational ontology is implemented in OWL, with instances populated from existing datasets in the domains of food and environmental sustainability. For ontology testing, SPARQL queries are used to assess whether the ontology meets the competency questions. This paper describes and evaluates the SustainHealthyFood ontology, presents related work, and discusses benefits, limitations, and future work.",

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Xhani, D & Guizzardi, R 2025, Ontology for Personalized Recipe Recommendations Supporting Sustainability, Personal Preferences, and Health Restrictions. in D Bork, R Lukyanenko, S Sadiq, L Bellatreche & O Pastor (eds), Conceptual Modeling: 44th International Conference, ER 2025, Poitiers, France, October 20–23, 2025, Proceedings. Lecture Notes in Computer Science, vol. 16189, Springer, Cham, pp. 376-392, 44th International Conference on Conceptual Modeling, ER 2025, Poitiers, France, 20/10/25. https://doi.org/10.1007/978-3-032-08623-5_20

Ontology for Personalized Recipe Recommendations Supporting Sustainability, Personal Preferences, and Health Restrictions. / Xhani, Donika ; Guizzardi, Renata.
Conceptual Modeling: 44th International Conference, ER 2025, Poitiers, France, October 20–23, 2025, Proceedings. ed. / Dominik Bork; Roman Lukyanenko; Shazia Sadiq; Ladjel Bellatreche; Oscar Pastor. Cham: Springer, 2025. p. 376-392 (Lecture Notes in Computer Science; Vol. 16189).

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

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Xhani D , Guizzardi R. Ontology for Personalized Recipe Recommendations Supporting Sustainability, Personal Preferences, and Health Restrictions. In Bork D, Lukyanenko R, Sadiq S, Bellatreche L, Pastor O, editors, Conceptual Modeling: 44th International Conference, ER 2025, Poitiers, France, October 20–23, 2025, Proceedings. Cham: Springer. 2025. p. 376-392. (Lecture Notes in Computer Science). doi: 10.1007/978-3-032-08623-5_20