Project-Team Orpailleur
Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Partnerships and Cooperations
Dissemination
Bibliography
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2016 Project-Team Activity Report
ORPAILLEUR
Knowledge discovery, knowledge engineering
Research centre: Nancy - Grand Est
In partnership with: CNRS, Université de Lorraine
In collaboration with: Laboratoire lorrain de recherche en informatique et ses applications (LORIA)

Field: Perception, Cognition and Interaction
Theme: Data and Knowledge Representation and Processing
Keywords:
Computer Science and Digital Science:
  • 3. - Data and knowledge
  • 3.1.1. - Modeling, representation
  • 3.1.7. - Open data
  • 3.2. - Knowledge
  • 3.2.1. - Knowledge bases
  • 3.2.2. - Knowledge extraction, cleaning
  • 3.2.3. - Inference
  • 3.2.4. - Semantic Web
  • 3.2.5. - Ontologies
  • 3.3.2. - Data mining
  • 3.3.3. - Big data analysis
  • 3.4.1. - Supervised learning
  • 3.4.2. - Unsupervised learning
  • 3.4.5. - Bayesian methods
  • 3.4.8. - Deep learning
  • 3.5.2. - Recommendation systems
  • 4. - Security and privacy
  • 4.1. - Threat analysis
  • 7.2. - Discrete mathematics, combinatorics
  • 7.9. - Graph theory
  • 8. - Artificial intelligence
  • 8.1. - Knowledge
  • 8.2. - Machine learning
  • 8.6. - Decision support
Other Research Topics and Application Domains:
  • 1.1.2. - Molecular biology
  • 1.2. - Ecology
  • 1.2.1. - Biodiversity
  • 2. - Health
  • 2.3. - Epidemiology
  • 2.4.1. - Pharmaco kinetics and dynamics
  • 2.4.2. - Drug resistance
  • 3.1. - Sustainable development
  • 3.5. - Agronomy
  • 3.6. - Ecology
  • 3.6.1. - Biodiversity
  • 6.3.4. - Social Networks
  • 6.4. - Internet of things
  • 8.5.2. - Crowd sourcing
  • 9. - Society and Knowledge
  • 9.4.5. - Data science