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Section: Partnerships and Cooperations
National Initiatives
ANR Projects
ASPIQ (ANR white, Jan. 2013-July 2017)
Participants : Jean-François Baget, Madalina Croitoru, Marie-Laure Mugnier.
ASPIQ (ASP technologIes for Querying large scale multisource heterogeneous web information), coordinated by Odile Papini (LSIS), involves other participants from CRIL, LERIA and LSIS. http://aspiq.lsis.org/
The aim of this project is to propose:
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extensions of standard ASP for representing OWL2 tractable sublanguages;
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new operations for merging conflicting information in this extended ASP;
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the identification of subclasses of this extended ASP allowing for efficient query answering mechanisms;
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See Section 7.1 for this year's results. An international workshop (WASPIQ 2017) associated with the conference IEA/AIE 2017 was also organized (see Section 10.1.1)
Pagoda (ANR JCJC, Jan. 2013-Dec. 2017)
Participants : Jean-François Baget, Meghyn Bienvenu, Marie-Laure Mugnier, Federico Ulliana.
Pagoda (Practical Algorithms for Ontology-based Data Access), coordinated by Meghyn Bienvenu, involves participants from IRISA, LIX, LIG, and the Anatomy Laboratory of Grenoble. http://pagoda.lri.fr/
The primary aim of this project is to address challenges brought by scalability and the handling of data inconsistencies by developing novel OBDA (Ontology Based Data Access) query answering algorithms and practical methods for handling inconsistent data.
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See Section 7.1 for this year's results.
Dur-Dur (ANR ALID, March 2014-Feb. 2017)
Participants : Pierre Bisquert, Patrice Buche, Madalina Croitoru, Jérôme Fortin, Abdelraouf Hecham, Rallou Thomopoulos.
Dur-Dur (Innovations agronomiques, techniques et organisationnelles pour accroître la DURabilité de la filière blé DUR), coordinated by Bernard Cuq (IATE), involves participants from 6 agronomy research units (including IATE), and 4 technical / professional partners. http://umr-iate.cirad.fr/projets/dur-dur
The Dur-Dur project develops a systematic approach to investigate the questions related to the management of the nitrogen, energy and contaminants, to guarantee a global quality of products throughout the production and the processing chain. The knowledge representation task of Dur-Dur proposes to map the stakeholders’ objectives into a multicriteria cartography, as well as possible means to reach them, and computes the compatibility / incompatibility of these objectives on the basis of argumentation methods. The research methods used are qualitative and based both on argumentation theory and on Social Multi- Criteria Evaluation (SMCE) theory. They will be extended and adapted to the needs of the project to provide a formal framework of assessment of the various orientations considered for the durum wheat chain.
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See Section 7.2 for this year's results.
Other projects
ICODA (Inria Project Lab, 2017-2021)
Participants : Jean-François Baget, Michel Chein, Marie-Laure Mugnier.
The iCODA project (Knowledge-mediated Content and Data Interactive Analytics—The case of data journalism), coordinated by Guillaume Gravier and Laurent Amsaleg (LINKMEDIA), takes together four Inria teams: LINKMEDIA (with being the project leaders), CEDAR, ILDA and GraphIK, as well as three press partners: Ouest France, Le Monde (les décodeurs) and AFP.
Taking data journalism as an emblematic use-case, the goal of the project is to develop the scientific and technological foundations for knowledge-mediated user-in-the-loop big data analytics jointly exploiting data and content, and to demonstrate the effectiveness of the approach in realistic, high-visibility use-cases.
Docamex (CASDAR project, 2017-2020)
Participants : Patrice Buche, Madalina Croitoru, Jérôme Fortin, Clement Sipietier.
DOCaMEx (Développement de prOgiciels de Capitalisation et de Mobilisation du savoir-faire et de l'Expérience fromagers en filière valorisant leur terroir), let by CFTC (centre technique des fromages de Franche-Comté) involves 7 research units (including IATE and LIRMM), 8 technical centers and 3 dairy product schools. It represents five cheese-making chains (Comté, Reblochon, Emmental de Savoie, Salers, Cantal).
Traditional cheese making requires a lot of knowledge, expertise, and experience, which is usually acquired over a long time. This knowledge is today mainly transmitted by apprenticeship and a concrete risk of knowledge forgetting is raised by the evolutions of practices in the sector. Using new methods for expert capitalization and numeric representation, the main goal of the project is to develop a new approach for expert knowledge explicitation and representation and the development of a software dedicated to their manipulation. With this software, cheese makers will be able to easily access to these knowledge for decision making assistance, and more generally any learner in cheese making process will be able to use it to complete its knowledge. His sustainability will be assured by possibility of enrichment with new knowledge and experience feedback. The software will be delivered with a tool-box including a methodological guide and a software package to be informed to assured its usability. IATE, Heudyasic and Graphik will design the new version of CoGui-Capex software tool (based on Cogui) in this project. The original part of the reasoning tool will consist in representing and computing the efficiency and the reliability of actions undertaken to maintain a food quality descriptor. This new tool will be able to enrich information with new experiences.
Convergence Institute #DigitAg (2017-2023)
Participants : Patrice Buche, Madalina Croitoru, Marie-Laure Mugnier, Rallou Thomopoulos, Federico Ulliana.
Located in Montpellier, #DigitAg (for Digital Agriculture) gathers 17 founding members: research institutes, including Inria, the University of Montpellier and higher-education institutes in agronomy, transfer structures and companies. Its objective is to support the development of digital agriculture. GraphIK is involved in this project on the issues of designing data and knowledge management systems adapted to agricultural information systems, and of developing methods for integrating different types of information and knowledge (generated from data, experts, models).
Pack4Fresh (GloFoodS INRA-Cirad metaprogram, sept. 2015-sept 2017)
Participants : Pierre Bisquert, Patrice Buche, Madalina Croitoru, Bruno Yun.
Pack4Fresh is funded by the multi-year metaprogramme GloFoodS (Transitions to global food security), which is dedicated to the investigation of pathways to worldwide food security in a context of competition for land and natural resources, and is jointly conducted by INRA and Cirad. Involving research on crop yield and livestock systems, land use changes, food processing and waste, nutrition and governance, GloFoodS aims at articulating global modeling of food supply and demand, with local issues of production and access to food.
In this context, Pack4Fresh focuses on the big fragility of fresh foods which generates enormous post-harvest wastes, short shelf-life, and constitutes a major lock to their consumption and health benefit. This project aims at initiating an eco-design approach of the post-harvest phase of fresh foods working on the interdependency relation between environmental impact (1) positive for waste reduction, et (2) negative for technologies, which aims at reducing the waste, in order to minimize the ratio between those two parameters.
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See Section 7.2 for this year's results.
Informal National Partners
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A new collaboration started this year with Pierre Bourhis (SPIRALS Inria team, UMR CRIStAL) and Sophie Tison (LINKS Inria team, UMR CRIStAL) on the OMQA issue for the case of Key-Value stores [21].
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The team continues the collaboration with Michael Thomazo (CEDAR Inria team) on Ontology-Mediated Query Answering. This year we worked on extensions of conjunctive queries that enable regular path expressions [20].
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We continued our collaboration with Florence Dupin de Saint-Cyr (Paul Sabatier University, Toulouse) [15], since 2014.
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We continued our collaboration with Srdjan Vesic, Researcher (CNRS - CRIL), Lens, France, since 2016 [13].
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This year we started a collaboration with the Center for Structural Biochemistry of Montpellier (CBS), with Jérôme Bonnet and Sarah Gouiziou, on the encoding of Boolean functions in biological systems [42].
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A new collaboration started with Reza Akbarinia (ZENITH Inria team) on parallel query rewriting for OMQA [31].
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We collaborated with Marianne Huchard (MAREL team, LIRMM) on the combined application of our techniques to generate text under constraints [27].
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We continued our collaboration with Jéan-Claude Léon (IMAGINE Inria team), since 2014 [36].