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2019 Project-Team Activity Report
VALDA
Value from Data
Research centre: Paris
In partnership with: CNRS, Ecole normale supérieure de Paris

In collaboration with: Département d'Informatique de l'Ecole Normale Supérieure



Field: Perception, Cognition and Interaction

Theme: Data and Knowledge Representation and Processing
Keywords:
Computer Science and Digital Science:
  • A3.1. - Data
  • A3.1.1. - Modeling, representation
  • A3.1.2. - Data management, quering and storage
  • A3.1.3. - Distributed data
  • A3.1.4. - Uncertain data
  • A3.1.5. - Control access, privacy
  • A3.1.6. - Query optimization
  • A3.1.7. - Open data
  • A3.1.8. - Big data (production, storage, transfer)
  • A3.1.9. - Database
  • A3.1.10. - Heterogeneous data
  • A3.1.11. - Structured data
  • A3.2. - Knowledge
  • A3.2.1. - Knowledge bases
  • A3.2.2. - Knowledge extraction, cleaning
  • A3.2.3. - Inference
  • A3.2.4. - Semantic Web
  • A3.2.5. - Ontologies
  • A3.2.6. - Linked data
  • A3.3.2. - Data mining
  • A3.4.3. - Reinforcement learning
  • A3.4.5. - Bayesian methods
  • A3.5.1. - Analysis of large graphs
  • A4.7. - Access control
  • A7.2. - Logic in Computer Science
  • A7.3. - Calculability and computability
  • A9.1. - Knowledge
  • A9.8. - Reasoning
Other Research Topics and Application Domains:
  • B6.3.1. - Web
  • B6.3.4. - Social Networks
  • B6.5. - Information systems
  • B9.5.6. - Data science
  • B9.6.5. - Sociology
  • B9.6.10. - Digital humanities
  • B9.7.2. - Open data
  • B9.9. - Ethics
  • B9.10. - Privacy