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Article

Food Recipe Ingredient Substitution Ontology Design Pattern

1
Center for Artificial Intelligence and Machine Learning (CAMIL), Faculty of Computing and Telecommunications, Poznan University of Technology, 60-965 Poznań, Poland
2
Faculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, Poland
3
Applied Computer Science Department, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Krakow, Poland
4
Department of Gastronomy Science and Functional Foods, Faculty of Food Science and Nutrition, Poznań University of Life Sciences, 60-637 Poznań, Poland
*
Author to whom correspondence should be addressed.
Academic Editors: Luca Anselma and Alessandro Mazzei
Sensors 2022, 22(3), 1095; https://doi.org/10.3390/s22031095
Received: 31 December 2021 / Revised: 27 January 2022 / Accepted: 28 January 2022 / Published: 31 January 2022
(This article belongs to the Special Issue Artificial Intelligence for Food Computing and Diet Management)
This paper describes a notion of substitutions in food recipes and their ontology design pattern. We build upon state-of-the-art models for food and process. We also present scenarios and examples for the design pattern. Finally, the pattern is mapped to available and relevant domain ontologies and made publicly available at the ontologydesignpatterns.org portal. View Full-Text
Keywords: food computing; ontology design pattern; substitute model; artificial intelligence food computing; ontology design pattern; substitute model; artificial intelligence
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MDPI and ACS Style

Ławrynowicz, A.; Wróblewska, A.; Adrian, W.T.; Kulczyński, B.; Gramza-Michałowska, A. Food Recipe Ingredient Substitution Ontology Design Pattern. Sensors 2022, 22, 1095. https://doi.org/10.3390/s22031095

AMA Style

Ławrynowicz A, Wróblewska A, Adrian WT, Kulczyński B, Gramza-Michałowska A. Food Recipe Ingredient Substitution Ontology Design Pattern. Sensors. 2022; 22(3):1095. https://doi.org/10.3390/s22031095

Chicago/Turabian Style

Ławrynowicz, Agnieszka, Anna Wróblewska, Weronika T. Adrian, Bartosz Kulczyński, and Anna Gramza-Michałowska. 2022. "Food Recipe Ingredient Substitution Ontology Design Pattern" Sensors 22, no. 3: 1095. https://doi.org/10.3390/s22031095

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