Title: Data and knowledge acquisition to build gold and silver standard corpora of recipes and their ingredients with their roles in different contexts.
To gather and integrate domain ontologies and other relevant knowledge resources (such as knowledge graphs) in food domain
To annotate entities and relations in a recipe corpus with concepts from a knowledge graph
To train embeddings of knowledge graphs and recipe structured texts
Title: Development of a machine learning-based models for recommending substitutable ingredients and their roles.
To develop a deep learning-based model for identifying substitutable ingredients
To develop a deep learning-based model for predicting the role of an ingredient in a given context, e.g. a special diet, or a particular dish
Title: Development of a logic-based solution for selecting target ingredients and their plausible substitutes
To develop a method availing of logical reasoning to prune and select candidate substitutes based on constraints.
To develop an approach to generate explanations on target ingredients and its replacement.
Title: System integration, prototyping and evaluation
To develop a prototype demonstrator of the TAISTI technology
To evaluate a prototype demonstrator and the TAISTI technology
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