Meghyn Bienvenu
Scholar

Meghyn Bienvenu

Google Scholar ID: xCZr-2oAAAAJ
CNRS Researcher
Artificial IntelligenceKnowledge Representation and ReasoningLogic in Computer Science
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Citations & Impact
All-time
Citations
1,302
 
H-index
20
 
i10-index
36
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
9 items
Responsibility Measures for Conjunctive Queries with Negation
arXiv.org · 2026
Cited
1
Data Complexity of Querying Description Logic Knowledge Bases under Cost-Based Semantics
2025
Cited
0
Advances in Logic-Based Entity Resolution: Enhancing ASPEN with Local Merges and Optimality Criteria
2025
Cited
0
A Rule-Based Approach to Specifying Preferences over Conflicting Facts and Querying Inconsistent Knowledge Bases
2025
Cited
0
Tractable Responsibility Measures for Ontology-Mediated Query Answering
2025
Cited
0
Inconsistency Handling in DatalogMTL
2025
Cited
0
Shapley Revisited: Tractable Responsibility Measures for Query Answers
2025
Cited
0
Inconsistency Handling in Prioritized Databases with Universal Constraints: Complexity Analysis and Links with Active Integrity Constraints
International Conference on Principles of Knowledge Representation and Reasoning · 2023
Cited
8
Resume (English only)
Research Experience
  • Full-time CNRS senior researcher (directrice de recherche) working at the LaBRI research lab at the University of Bordeaux; Co-director of the GDR RADIA (National Research Network on Reasoning, Learning, and Decision in AI) since January 2023.
Background
  • Main subject of interest: knowledge representation and reasoning; current work mostly centers around description logic ontologies and their utilisation in querying data.
Co-authors
0 total
Co-authors: 0 (list not available)