CoopIS 2026 (International Conference on Cooperative Information Systems) is a CCF C / ICORE B / QUALIS B1 conference held in Angers, France on 2026-10-26. The paper submission deadline is 2026-07-03 (extended). Acceptance notifications are sent on 2026-07-17.
SCOPE
The International Conference on Cooperative Information Systems (CoopIS) is a well-established international event for presenting and discussing scientific contributions on technical, economic, and societal aspects of distributed and cooperative information systems at scale. The guiding theme of the 32nd edition is: “Information Systems in the AI Era”. The rapid integration of Artificial Intelligence, Large Language Models and Agentic AI into information systems is transforming how data is processed, decisions are made, and services are delivered.
CONFERENCE AREAS
Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
1. KNOWLEDGE GRAPHS, DATA ENGINEERING, AND INTELLIGENT KNOWLEDGE SYSTEMS
2. INDUCTIVE LEARNING, MACHINE LEARNING, AND TRUSTWORTHY AI
3. INTELLIGENT PROCESS ANALYTICS AND AI-DRIVEN AUTOMATION
4. SEMANTIC INTEROPERABILITY, OPEN STANDARDS, AND DATA ECOSYSTEMS
5. ETHICAL, PRIVACY-PRESERVING, AND SECURE INFORMATION SYSTEMS
6. INTERNET OF THINGS, CYBER-PHYSICAL SYSTEMS, AND DIGITAL TWINS
7. ARCHITECTURE, ENGINEERING, AND MANAGEMENT OF AI-ENABLED INFORMATION SYSTEMS
8. HUMAN-CENTRIC AI AND SOCIO-TECHNICAL INFORMATION SYSTEMS
9. SERVICES, CLOUD IN INFORMATION SYSTEMS AND DISTRIBUTED AI PLATFORMS
10. APPLICATIONS OF AI-AUGMENTED AND AUTONOMOUS INFORMATION SYSTEMS
11. SOFTWARE ENGINEERING FOR AI ENGINEERING FOR INFORMATION SYSTEMS
AREA 1: KNOWLEDGE GRAPHS, DATA ENGINEERING, AND INTELLIGENT KNOWLEDGE SYSTEMS
Semantic Data Integration
Ontology Learning and Engineering
Ontology and Schema Matching
Knowledge Graph Creation Techniques
Evolution and Maintenance of Knowledge Graphs
Quality Assessment over Knowledge Graphs
AREA 2: INDUCTIVE LEARNING, MACHINE LEARNING, AND TRUSTWORTHY AI
Neuro-Symbolic Systems over Knowledge Graphs
Rule and Data Mining
Knowledge Graph Embeddings
Entity Recognition and Linking
Semantic Annotation
AREA 3: INTELLIGENT PROCESS ANALYTICS AND AI-DRIVEN AUTOMATION
Performance Measurment
Trace Encoding
Process Discovery
Conformance Analysis
Process Improvement
IT for work innovation
Robotic Process Automation
AREA 4: SEMANTIC INTEROPERABILITY, OPEN STANDARDS, AND DATA ECOSYSTEMS
Querying Graph Data and Query Languages
Inference and Reasoning
AREA 5: ETHICAL, PRIVACY-PRESERVING, AND SECURE INFORMATION SYSTEMS
Access Control
Data Proteciton and Privacy
Blockchain-based Approaches
AREA 6: INTERNET OF THINGS, CYBER-PHYSICAL SYSTEMS, AND DIGITAL TWINS
Data Structures for IoT and Digital Twins
Storage and Data Management
Computing and Processing in IoT Environments
Sensors and Actuators
AREA 7: ARCHITECTURE, ENGINEERING, AND MANAGEMENT OF AI-ENABLED INFORMATION SYSTEMS
Information Architecture
Enterprise Architecture Management
Software Design
Digital Transformation
Monitoring Tools And Techniques
AREA 8: HUMAN-CENTRIC AI AND SOCIO-TECHNICAL INFORMATION SYSTEMS
Visualization
Human-Computer Interaction
AREA 9: SERVICES, CLOUD IN INFORMATION SYSTEMS AND DISTRIBUTED AI PLATFORMS
Web Services, APIs
Services Science, Engineering, Management
Microservice-oriented architecture (MOA), Service Mesh
Cloud service management, Cloud workflow management
Cloud and fog computing, Edge service orchestration
AREA 10: APPLICATIONS OF AI-AUGMENTED AND AUTONOMOUS INFORMATION SYSTEMS
Applications of Knowledge Graphs (e.g., healthcare, industry 4.0, science, energy)
Human-centric Information Systems (e.g., healthcare, industry 4.0, science, energy)
AREA 11: SOFTWARE ENGINEERING FOR AI ENGINEERING FOR INFORMATION SYSTEMS
Software Quality Assurance and Testing in Information Systems
DevOps and Continuous Integration for Information Systems
Software Maintenance and Evolution in Information Systems
Model-Driven Engineering and Low-Code/No-Code Platforms for Information Systems
AI-driven Software Engineering for Information Systems
Software Engineering for Secure and Resilient Information Systems
Software Process Mining and Optimization in Information Systems
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