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Food recipe ingredient substitution ontology design pattern
This paper describes a notion of substitutions in food recipes and their ontology design
pattern. We build upon state-of-the-art models for food and process. We also present …
pattern. We build upon state-of-the-art models for food and process. We also present …
[HTML][HTML] Construction of a generic and evolutive wheel and lexicon of food textures
C Bondu, C Salles, M Weber, E Guichard, M Visalli - Foods, 2022 - mdpi.com
In the context of data management and processing, food science needs tools to organize the
results of diverse studies to make the data reusable. In sensory analysis, there are no …
results of diverse studies to make the data reusable. In sensory analysis, there are no …
Towards a reference ontology on mulsemedia systems
The use of multiple senses in interactive applications has become increasingly feasible due
to the upsurge of commercial, off-the-shelf devices to produce sensory effects. Creating …
to the upsurge of commercial, off-the-shelf devices to produce sensory effects. Creating …
[PDF][PDF] MulseOnto: a Reference Ontology to Support the Design of Mulsemedia Systems.
Designing a mulsemedia—multiple sensorial media—system entails first and foremost
comprehending what it is beyond the ordinary understanding that it engages users in digital …
comprehending what it is beyond the ordinary understanding that it engages users in digital …
[PDF][PDF] Kulczy nski, B.; Gramza-Michałowska, A. Food Recipe Ingredient Substitution Ontology Design Pattern
A Ławrynowicz, A Wróblewska, WT Adrian - Sensors - researchgate.net
This paper describes a notion of substitutions in food recipes and their ontology design
pattern. We build upon state-of-the-art models for food and process. We also present …
pattern. We build upon state-of-the-art models for food and process. We also present …
Bridging the Gap between Semantics and Multimedia Processing
In this paper, we give an overview of the semantic gap problem in multimedia and discuss
how machine learning and symbolic AI can be combined to narrow this gap. We describe …
how machine learning and symbolic AI can be combined to narrow this gap. We describe …