A Generic Software to Support Collective Decision in Food Chains and in Multi-Stakeholder Situations

International audienceMyChoice is a user-friendly web-based application supporting collective decision, developed by INRAE (French National Institute of Research for Agriculture, Food and the Environment). It is designed to analyse, compare and assess the acceptability of different alternatives-e.g. technologies, food processes, variants of a product, etc.-, based on explicative arguments stemming from various sources and stakeholders, regarding different criteria and aims. It is well-suited for accompanying news trends and developments in food chains, requiring the adhesion and cooperation of various stakeholders. Nevertheless, its design is generic and may also be applied to different fields. This paper presents the design concepts of the software, stemming from different disciplines-multicriteria decision, AI argumentation, database information systems, social psychology-, its features and expected future developments

A Generic Software to Support Collective Decision in Food Chains and in Multi-Stakeholder Situations

International audienceMyChoice is a user-friendly web-based application supporting collective decision, developed by INRAE (French National Institute of Research for Agriculture, Food and the Environment). It is designed to analyse, compare and assess the acceptability of different alternatives-e.g. technologies, food processes, variants of a product, etc.-, based on explicative arguments stemming from various sources and stakeholders, regarding different criteria and aims. It is well-suited for accompanying news trends and developments in food chains, requiring the adhesion and cooperation of various stakeholders. Nevertheless, its design is generic and may also be applied to different fields. This paper presents the design concepts of the software, stemming from different disciplines-multicriteria decision, AI argumentation, database information systems, social psychology-, its features and expected future developments

MyChoice

MyChoice is a web application supporting collective decision, designed by INRAE. The software enables project participants to:- Analyze, compare and assess stakeholders' attitudes towards different alternatives.- Review explanatory arguments stemming from various sources and reflecting different concerns.- Explain the criteria, aims and features pursued.- Highlight potential synergies or competing concerns.- Propose different modes of decision support (expert, consensual, prospective, etc.)

MyChoice

MyChoice is a web application supporting collective decision, designed by INRAE. The software enables project participants to:- Analyze, compare and assess stakeholders' attitudes towards different alternatives.- Review explanatory arguments stemming from various sources and reflecting different concerns.- Explain the criteria, aims and features pursued.- Highlight potential synergies or competing concerns.- Propose different modes of decision support (expert, consensual, prospective, etc.)

CO2 solubility and composition data of food products stored in data warehouse structured by an ontology

This data paper presents the values of CO2 solubility at different temperatures and main compositional parameters (protein, fat, moisture, sugars and salt content) for food products from different categories: dairy products, fishes and meats. It is the result of an extensive meta-analysis gathering the results of different major papers published on the domain on the period of 1980 to 2021, presenting the composition of 81 different food products corresponding to 362 solubility measures. For each food product, the compositional parameters were either extracted directly from the original source, or extracted from open-source databases. This dataset has also been enriched with measurements made on pure water and oil for comparison purposes. In order to ease the comparison between different sources, data have been semantized and structured by an ontology enriched with domain vocabulary. They are stored in a public repository and can be retrieved through the @Web tool, a user-friendly interface allowing to capitalize and query the dataThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandin novationprogramundergrantagreementNo773375

Food transformation process description using PO2 and FoodOn

International audienceThe food production and processing sector are facing sustainability challenges of growing complexity. To tackle these challenges, data and knowledge from many different domains may be structured and stored using an ontol-ogy, a semantic model. In this paper we present a core ontology designed to model processes and observations from food domains. Three datasets struc-tured according with this ontology are stored into a repository. Dedicated tools were designed to assist domain experts in integrating and querying data. Semantic integration of data from food transformation domains may enable new decision support tools for new products with good qualities and eco-friendly properties

A new alignment method based on FoodOn as pivot ontology to integrate nutritional legacy data sources

International audienceIn order to correctly assess the nutritional quality of a meal or a manufactured food product in a given country, the first step is to assess the nutritional values for its ingredients. Food composition databases (FCDBs) available in a lot of countries and managed at national level provide values for energy and nutrients of food components. Unfortunately, values associated with some nutrients of interest may be lacking in the FCDB of the country in which the nutritional quality must be assessed. Finding values associated with nutrients for similar foods in other FCDBs is a way to deal with incompleteness. An additional issue arises because the vocabulary used to describe the ingredients of a meal or a recipe in a given FCDB is usually different from the one used in other ones. In this paper we address the problem of identifying the nutritional value of recipe's ingredients by querying different FCDBs through FoodOn as pivot ontology. We present a new alignment method between two distinct FCDBs, based on syntactic and semantic approaches, whose vocabulary is previously transformed into an ontology. Our method has been evaluated on Ciqual, the French food nutritional database, USDA, the United States food nutritional database and the FoodOn ontology. The incompleteness management task based on FoodOn as pivot ontology has been assessed with a real use-case concerning iron, Vitamin B12, Vitamin C nutrients

Food transformation process description using PO2 and FoodOn

International audienceThe food production and processing sector are facing sustainability challenges of growing complexity. To tackle these challenges, data and knowledge from many different domains may be structured and stored using an ontol-ogy, a semantic model. In this paper we present a core ontology designed to model processes and observations from food domains. Three datasets struc-tured according with this ontology are stored into a repository. Dedicated tools were designed to assist domain experts in integrating and querying data. Semantic integration of data from food transformation domains may enable new decision support tools for new products with good qualities and eco-friendly properties