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Supporting Food Computing with Ontologies and Artificial Intelligence Methods for Sustainability

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Artificial Intelligence for Knowledge Management, Energy and Sustainability (AI4KMES 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 693))

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Abstract

This paper investigates the potential of combining food ontologies and AI in the food sector for enhanced sustainability. We argue that this combination can foster sustainable food systems, underscoring how semantic structures and AI can facilitate precision agriculture, sustainable food choices, personalized diets, and climate change mitigation. Our goal is to discuss how these innovative technologies can be harnessed to better understand, manage, and ultimately transform the food domain for a sustainable future. As a first step towards achieving this goal, we provide an overview of prominent food ontologies and knowledge graphs in the food domain highlighting their structures and focal points, and we illustrate the value of ontological reasoning through practical food domain examples, using SPARQL queries and ontological reasoning for insightful knowledge derivation. We also discuss how to combine AI and ontologies to create new knowledge resources for improved data integration and management.

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Notes

  1. 1.

    See https://ourworldindata.org/grapher/area-land-needed-to-global-oil.

  2. 2.

    See: https://foodon.org/.

  3. 3.

    See https://wiki.openfoodfacts.org/Ingredients_ontology.

  4. 4.

    See http://purl.obolibrary.org/obo/FOODON_00002473.

  5. 5.

    See https://cosylab.iiitd.edu.in/.

  6. 6.

    See release en_core_web_sm-3.6.0 Spacy model: https://github.com/explosion/spacy-models/releases/tag/en_core_web_sm-3.6.0.

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Authors and Affiliations

  1. AGH University of Krakow, al. A. Mickiewicza 30, 30-059, Krakow, Poland

    Weronika T. Adrian, Julia Ignacyk, Krzysztof Kluza, Piotr Wiśniewski & Antoni Ligęza

  2. Jagiellonian University Medical College, Montelupich 4, 30-155, Kraków, Poland

    Katarzyna Pyrczak

  3. University of St. Gallen, 9000, St. Gallen, Switzerland

    Piotr Wiśniewski

Authors
  1. Weronika T. Adrian
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  2. Julia Ignacyk
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  3. Katarzyna Pyrczak
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  4. Krzysztof Kluza
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  5. Piotr Wiśniewski
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  6. Antoni Ligęza
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Corresponding author

Correspondence to Weronika T. Adrian .

Editor information

Editors and Affiliations

  1. University of Reims Champagne-Ardenne, Reims, France

    Eunika Mercier-Laurent

  2. Energy Institute, Istanbul Technical University, Istanbul, Istanbul, Türkiye

    Gülgün Kayakutlu

  3. Wroclaw University of Economics and Business, Wroclaw, Poland

    Mieczyslaw Lech Owoc

  4. University of Galway, Galway, Ireland

    Abdul Wahid

  5. University of Galway, Galway, Ireland

    Karl Mason

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Adrian, W.T., Ignacyk, J., Pyrczak, K., Kluza, K., Wiśniewski, P., Ligęza, A. (2024). Supporting Food Computing with Ontologies and Artificial Intelligence Methods for Sustainability. In: Mercier-Laurent, E., Kayakutlu, G., Owoc, M.L., Wahid, A., Mason, K. (eds) Artificial Intelligence for Knowledge Management, Energy and Sustainability. AI4KMES 2023. IFIP Advances in Information and Communication Technology, vol 693. Springer, Cham. https://doi.org/10.1007/978-3-031-61069-1_4

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  • DOI: https://doi.org/10.1007/978-3-031-61069-1_4

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