Post on 01-Aug-2020
RUC-APS YEAR 4 HIGHLIGHTS
Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems
(RUC-APS)
WP Leader
Prof. Hervé Panetto
Université de Lorraine, CRAN, CNRS, France
Herve.Panetto@univ-Lorraine.fr
WP 11
Enterprise systems interoperability assessment
in Agriculture domains
YEAR 4 HIGHLIGHTS
Skype for Business: https://meet.lync.com/univ-lorraine.fr/panetto5/XAXC6HFI
The session is recorded!
RUC-APS YEAR 4 HIGHLIGHTS
THE WP11 TEAM at ULName Institution/Group Expertise
Prof. Hervé Panetto (WP Leader) UL/CRAN Interoperability of systems, cyber-physical systems
Dr. Mario Lezoche UL/CRAN Knowledge management and ontology
Dr. William Dérigent UL/CRAN Data management and BIM
Prof. Hind EL-Haouzi UL/CRAN Simulation-based decision making
Dr. Concetta Semeraro UL/CRAN & POLIBA Data mining and digital twin
Dr. Wided Guédria LIST/CRAN Interoperability assessment
Dr. Gabriel Leal UL/CRAN & LIST Ontology-based interoperability requirements
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Final product
Assessment
info
info
info
info
info
info
info informationcompetencies
products
Problems
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Towards an Interoperabilty Agri-food 4.0Assessment tool
• Generaly interoperable by design
• Human centred
• Technology oriented (CPS, Sensors, AI, …)
• Data, Information and Knowledge –based
• Along the global value chain
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Interoperability Assessment
(Ford et al., 2007a), (Panetto. 2007), (Yahia et al. 2012), (Guédria et al. 2015)
Potent ia l i ty
The potential of an enterprise to
be interoperable towards its
environment
Compat ibi l i ty
The compatibility
Between two
Enterprises
Performance
The performance of
interoperation between
two enterprises
T rans format ion
Identifying impacts that
changes may cause
Creat ion o f a network
Selecting new
partners
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The Conceptual Model: Assessment MetaModel
Systemic coreAssessment core
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The Conceptual Model: Interoperability Assessment MetaModel
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The Conceptual Model: Instantiation
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The Ontology of Interoperability Assessment (OIA)
Protégé 5.2 (Musen, 2015)Extract of the ontology
pointsOutProblem
recommends
removesProblem
satisfies
isSatisfiedBy
mayCause
requires
impactsisRequiredB
y
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Prototyping the computer-mediated tool for Interoperability Assessment in Agriculture
It provides user interfaces
It automatically identifies barriers based
on the requirement rating
It recommends solutions based on:
- the identified barriers
- the knowledge that has been
stored in the OIA
The prototype architecture
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Prototyping the computer-mediated tool forInteroperability Assessment
RUC-APS YEAR 4 HIGHLIGHTS
Prototyping the computer-mediated tool forInteroperability AssessmentInserting logic rules for automatic reasoning
Language Description (Formula)
Natural
Language:
If a specific requirement that is verified by the assessment has a lower rate than the one
stipulated as “minimum”, the assessment points out the interoperability barrier(s) and
recommends the best practice(s) that are related to the concerned requirement.
SWRL
Language:
Assessment_Process(?iap) ^ Evaluation_Criterion(?ir) ^
verifiesCriterion(?iap, ?ir)^ Existence_Condition(?ib) ^
relatedToCondition (?ir, ?ib) ^ Solution(?bp) ^ satisfiesRequirement(?bp,
?ir) ^ hasRate(?ir, ?ra) ^ hasMin(FA, ?miv) ^ swrlb:lessThan(?ra, ?miv)
-> pointsOutCondition (?iap, ?ib) ^ hasCause(?ib, ?ir) ^ recommends(?iap,
?bp)
Language Description (Formula)
Natural
Language:
If a considered requirement has a rate greater than the stipulated minimum, the
concerned requirement satisfies the related maturity level.
SWRL
Language:
hasMin(FA, ?miv) ^ Quality(?il) ^ dependsOnRequirement(?il, ?ir) ^
Evaluation_Criterion(?ir) ^ hasRate(?ir, ?ra) ^ swrlb:greaterThan(?ra,
?miv) -> satisfiesLevel(?ir, ?il)
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Ontology before reasoning
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Ontology after reasoning
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The case study
The Factory Group
Agrifood productor & supplier
Exxus
Farm
Agro-Interact
Transport
RIDL
Distributor
Sustain
Quality control service
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The Factory Group Case Study20
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DEMONSTRATION
Interoperabilty Agri-food 4.0 Assessment tool
Developed by Gabriel Leal SerapiãoDecision Support for Interoperability readiness analysis in Networked Enterprises. Phdthesis of Université de Lorraine, 2019
Gabriel Leal, Wided Guedria, Hervé Panetto. A semi-automated system for interoperability assessment: an ontology-based approach. Enterprise Information Systems, Taylor & Francis, 2020, 14 (3), pp.308-333. ⟨10.1080/17517575.2019.1678767⟩
The names of the enterprises used in this demo are purely fiction
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Learning Outcomes• Analysis of data sharing and exchange in the food supply chain
• Starting point analysis of applications used in agribusiness
• Information flows between Agrifood stakeholders
• Some idea about the definition of an Agri-Ontology
• The Agri-Food Experiment Ontology (AFEO)
• Interoperability map between enterprise systems in agriculture domain
• Adaptation of the PLATINE prototype for an Ontology-based Interoperability assessment in Agriculture (Demo)
RUC-APS YEAR 4 HIGHLIGHTS
THANKYOU !Q&A
RUC-APS YEAR 4 HIGHLIGHTS
Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems
(RUC-APS)
YEAR 4 HIGHLIGHTS
Skype for Business: https://meet.lync.com/univ-lorraine.fr/panetto5/XAXC6HFI
Presenter
Ass. Prof. Mario Lezoche
Université de Lorraine, CRAN, CNRS, France
Mario.Lezoche@univ-Lorraine.fr
Next presentation: Wednesday 27th, 2020 – 15:30 CET
Agriculture Ontology