Szczegóły publikacji
Opis bibliograficzny
Food ontologies and ontological reasoning in food domain for sustainability / Weronika T. ADRIAN, Katarzyna Pyrczak, Krzysztof KLUZA, Antoni LIGĘZA // W: Artificial intelligence : ECAI 2023 international workshop : XAI${^{\wedge}}$3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI : Kraków, Poland, September 30 – October 4, 2023 : proceedings, Pt. 2 / eds. Sławomir Nowaczyk, Przemysław Biecek, Neo Christopher Chung, Mauro Vallati, Paweł Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomáš Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczysław Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova. — Cham : Springer Nature Switzerland, cop. 2024. — (Communications in Computer and Information Science ; ISSN 1865-0929 ; CCIS 1948). — ISBN: 978-3-031-50484-6; e-ISBN: 978-3-031-50485-3. — S. 262–268. — Bibliogr., Abstr. — Publikacja dostępna online od: 2024-01-25
Autorzy (4)
- AGHAdrian Weronika Teresa
- Pyrczak Katarzyna
- AGHKluza Krzysztof
- AGHLigęza Antoni
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 151694 |
|---|---|
| Data dodania do BaDAP | 2024-03-13 |
| DOI | 10.1007/978-3-031-50485-3_28 |
| Rok publikacji | 2024 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 26th European Conference on Artificial Intelligence |
| Czasopismo/seria | Communications in Computer and Information Science |
Abstract
This paper investigates the potential of combining food ontologies and AI in the food sector for enhanced sustainability. We argue that ontology-driven AI 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 such as FoodOn, Food KG, SPO, Ingredients Ontology, and ONS, highlighting their structures and focal points, as well as illustrate the value of ontological reasoning through practical food domain examples, using SPARQL queries and ontological reasoning for insightful knowledge derivation.