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Research of the AlGCo team is focused on theoretical and algorithmic investigations of classical combinatorial structures: mainly graphs, but also signed graphs, directed graphs, matroids, oriented matroids… Our motivations are fundamental (questions about partitioning, coloring, embedding, isomorphisms, bijections…), algorithmic (notably related to parametrized complexity: fixed-parameter-tractable algorithms, existence of polynomial kernels), or applied in connection with other domains (computational biology, imaging, morphometry, network modelization, data science, artificial intelligence…).
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Aide à la décision
First-order logic
Graphs
Base de connaissances
Expert knowledge
Datalog+
Agrifood chain control
Représentation des connaissances
Conceptual graph
Modeling
SPARQL
Graphes conceptuels
Reverse engineering
Explanation
Knowledge Representation
Decision Support System
Informatique
Data integration
Inconsistency
Ontology
Web sémantique
Algorithme
Knowledge Representation and Reasoning
Decision support
ASPIC+
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Databases
Food packaging
Annotation
Query language
Outil d'aide à la décision
RDFS
Existential rules
Rules
Acyclicity
Ontologie
Description Logics
Experiments
Heuristics
CONCEPTUAL GRAPHS
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Argumentation framework
Analyse multicritère
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Déduction
Alternative
Argumentation
TGD
OWL
Knowledge management
Animal food product
Information extraction
Conjunctive Queries with Negation
Negation
Règles existentielles
Backward chaining
Reasoning
Intelligence Artificielle
Decision making
Conceptual Graph
AI
Flexible querying
Homomorphism
Knowledge integration
Decidability
Query answering
Linked data
Argumentation systems
Conceptual Graphs
Argumentation Framework
Deduction
Semantic Web
Homomorphisme
Information integration
Artificial Intelligence
Decision support system
Algorithms
Sustainability
Ontology-Based Data Access
Graphes
Agent-based simulation
Knowledge representation
Conceptual graphs
RDF
Agroalimentaire
Algorithm
Semantic web
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Critère de choix
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TOPIC MAPS
Intelligence artificielle
Logic-based argumentation
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