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Chapter

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Title

Reasoning about Ingredient Substitutions with Ontologies and Rules

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2023

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • ontologies
  • logic programming
  • answer set programming
  • Internet of Food
  • computational food
  • knowledge representation
Abstract

EN Preparing healthy and delicious meals requires knowledge about the process, nutritional properties of the ingredients, and their combinations. When we face the need for substitution in a dish, e.g., for allergic or dietary reasons, we should know how removing one element and adding another influences the resulting experience. The paper proposes an ontology-based model for reasoning about ingredient substitution in food recipes, enhanced with a logic programming component for constraint satisfaction and optimization. This opens up possibilities for computer-aided decision support in the area of substitute recommendation.

URL

https://ceur-ws.org/Vol-3485/paper8961.pdf

Book

Proceedings of the 17th International Rule Challenge and 7th Doctoral Consortium @ RuleML+RR 2023 co-located with 19th Reasoning Web Summer School (RW 2023) and 15th DecisionCAMP 2023 as part of Declarative AI 2023

Presented on

7th International Rule Challenge and 7th Doctoral Consortium @ RuleML+RR 2023 co-located with 19th Reasoning Web Summer School (RW 2023) and 15th DecisionCAMP 2023 as part of Declarative AI 202, 18-20.09.2023, Oslo, Norway

License type

CC BY (attribution alone)

Open Access Mode

publisher's website

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / chapter

5

Ministry points / conference (CORE)

70

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