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Food Recipe Ingredient Substitution Ontology Design Pattern.

Agnieszka Ławrynowicz1, Anna Wróblewska2, Weronika T Adrian3

  • 1Center for Artificial Intelligence and Machine Learning (CAMIL), Faculty of Computing and Telecommunications, Poznan University of Technology, 60-965 Poznań, Poland.

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Summary

This study introduces a design pattern for food recipe substitutions, enhancing existing food and process models. The pattern is mapped to domain ontologies for broader application.

Keywords:
artificial intelligencefood computingontology design patternsubstitute model

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Area of Science:

  • Computer Science
  • Food Science
  • Ontology Engineering

Background:

  • Food recipe data is complex and often lacks standardized structures for substitutions.
  • Existing food and process models may not adequately capture the nuances of ingredient or step replacements.
  • Ontologies are crucial for formalizing knowledge and enabling semantic interoperability in the food domain.

Purpose of the Study:

  • To propose a novel ontology design pattern for representing substitutions in food recipes.
  • To integrate this pattern with state-of-the-art food and process models.
  • To provide practical examples and map the pattern to existing domain ontologies.

Main Methods:

  • Development of a formal ontology design pattern for recipe substitutions.
  • Integration and extension of existing food and process ontologies.
  • Creation of illustrative scenarios and use cases.
  • Mapping the proposed pattern to established domain ontologies.

Main Results:

  • A well-defined ontology design pattern for food recipe substitutions has been established.
  • The pattern effectively models ingredient and process substitutions within recipes.
  • The pattern is compatible with and mapped to relevant existing ontologies.
  • The pattern is publicly available for community use and further development.

Conclusions:

  • The proposed ontology design pattern offers a standardized approach to representing food recipe substitutions.
  • This work facilitates semantic interoperability and knowledge sharing in the culinary domain.
  • The public availability of the pattern encourages its adoption and contributes to the Linked Open Data cloud for food.