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Semantic Conflict Detection and CRDT-based Synchronization for Collaborative Knowledge Graphs

Inria · Villers lès Nancy

Research instituteonsiteinternship$10k
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At a glance

Highlights

  • Study semantic conflicts in concurrently edited RDF knowledge graphs.
  • Design CRDT-based replication integrating semantic conflict detection.
  • Contribute to KGTWIN research on co-evolving texts and knowledge graphs.

Ideal candidate

Master 2 or final-year engineering student in computer science curious about distributed systems, databases and Semantic Web. Interested in research on collaborative editing and neuro-symbolic systems.

Requirements

  • Master 2 or final-year engineering student in Computer Science
  • Interest in distributed systems, databases or Semantic Web technologies
  • Knowledge of distributed systems and consistency models
  • Knowledge of CRDTs and optimistic replication
  • Knowledge of RDF and SPARQL
  • Knowledge of Knowledge Graphs, ontologies and SHACL
  • Programming in Python, Java or another suitable language

Lab profile

About Inria

French national research institute advancing digital sciences, computing, AI and applied mathematics.

What they build

  • Digital sciences and computing research
  • Artificial intelligence for microscopy and video analysis
  • Quantum information theory

Known for

  • Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
  • Embedded in Paris-Saclay science and technology cluster
  • Rich R&D ecosystem with startups, industry and clusters
  • International collaborations and multinational scientific staff

Key facts

  • Founded in 1967
  • Headquartered in France
  • Nine research centres across France
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