Présentation
This book presents workflows – combinations of digital processing steps based on knowledge engineering – to address complex problems in the agrifood and bioproduct industries. These workflows enable the collection, organization, sharing, linking, and updating of various sources: expert opinions, experimental data, and stakeholder preferences. The main methodological challenge is the extraction, representation, and integration of imperfect data for reusing in tasks such as learning, prediction, and decision support.
Knowledge engineering, a branch of AI, provides the methods and tools needed for expertise formalization, automated reasoning, and supported decision‑making. The book builds on the work of the INRAE ICO team at the IATE research unit (Montpellier, France) and the INRAE CATI DIISCICO network, which were awarded the Open Science Research Data Award 2023 by the French Ministry of Research. This research results from a long‑term collaboration with experts from the INRAE TRANSFORM division and their partners.
The workflows are implemented in innovative tools for capitalizing and processing data/knowledge; applied to specific agrifood sector issues; and intended to support collective decision‑making. They are illustrated with concrete cases, such as the design of biodegradable packaging composites, the selection of food product packaging, and technological recommendations for cheese quality.
The book details the methodologies and tools based on the generic nature of the approaches to ensure their durability, independent of technology, while also providing open resources (software, datasets, ontologies, thesauri) so they can be reused or adapted to other contexts.
Sommaire
Foreword by Johnny Beaugrand
Foreword by Nathalie Aussenac-Gilles
Introduction
Chapter 1. Domain Ontologies for Food and Biobased Products
Magalie Weber, Julien Cufi, Juliette Defossez, Stéphane Dervaux, Hervé Guillemin, Nicolas Guinet, Yannick Guyonvarch, Liliana Ibanescu, Emmanuele Piaud, Patrice Buche
Chapter 2. Task Ontologies for Product Processing and Characterization Processes
Liliana Ibanescu, Julien Couteaux, Julien Cufi, Stéphane Dervaux, Hervé Guillemin, Alrick Oudot, Emmanuele Piaud, Magalie Weber, Patrice Buche
Chapter 3. Methods for Ontology-Guided Extraction of Experimental Data in Scientific Articles
Martin Lentschat, Patrice Buche, Julien Cufi, Luc Menut, Mathieu Roche
Chapter 4. Reasoning About Process: Experimental Data and Technological Expert Know-how for Decision Support
Mélanie Münch, Cédric Baudrit, Julien Cufi, Julien Couteaux, Christophe Fernandez, Luc Menut, Alrick Oudot, Patrice Buche
Chapter 5. Methods for Collective Decision Support that Consider both Preferences and Contradictory Arguments from Agri-food Chain Stakeholders
Pierre Bisquert, Rallou Thomopoulos
Chapter 6. Designing Prospective Scenarios at the Scale of a Value Chain
Romy-Lynn Chaib, Catherine Macombe, Rallou Thomopoulos, Erwan Engel
Chapter 7. Assessing the Impact of Participatory Interventions at the Individual Level
Reine Barbar, Rallou Thomopoulos
Final Conclusion and Future Outlook
Appendix 1. Knowledge Engineering Models Used in the Book
Jérôme Fortin, Patrice Buche, Pierre Bisquert
Appendix 2. Legend for the Workflow Diagrams
Patrice Buche
References
Acknowledgments
List of authors
