AMAΛΘΕΙA: A Dish-Driven Ontology in the Food Domain

Author:

Markantonatou Stella,Toraki Katerina,Minos Panagiotis,Vacalopoulou Anna,Stamou Vivian,Pavlidis GeorgeORCID

Abstract

We present AΜAΛΘΕΙA (AMALTHIA), an application ontology that models the domain of dishes as they are presented in 112 menus collected from restaurants/taverns/patisseries in East Macedonia and Thrace in Northern Greece. AΜAΛΘΕΙA supports a tourist mobile application offering multilingual translation of menus, dietary and cultural information about the dishes and their ingredients, as well as information about the geographical dispersion of the dishes. In this document, we focus on the food/dish dimension that constitutes the ontology’s backbone. Its dish-oriented perspective differentiates AΜAΛΘΕΙA from other food ontologies and thesauri, such as Langual, enabling it to codify information about the dishes served, particularly considering the fact that they are subject to wide variation due to the inevitable evolution of recipes over time, to geographical and cultural dispersion, and to the chef’s creativity. We argue for the adopted design decisions by drawing on semantic information retrieved from the menus, as well as other social and commercial facts, and compare AMAΛΘΕΙA with other important taxonomies in the food field. To the best of our knowledge, AΜAΛΘΕΙA is the first ontology modeling (i) dish variation and (ii) Greek (commercial) cuisine (a component of the Mediterranean diet).

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Food process ontology requirements;Semantic Web;2022-11-04

2. Tackling Dataset Bias With an Automated Collection of Real-World Samples;IEEE Access;2022

3. Web acquired image datasets need curation: an examplar pipeline evaluated on Greek food images;2021 IEEE International Conference on Imaging Systems and Techniques (IST);2021-08-24

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