# CoopIS — International Conference on Cooperative Information Systems

- **Submission deadline**: 2026-07-03
- **Notification date**: 2026-07-17
- **Conference date**: 2026-10-26
- **Location**: Angers, France
- **Rankings**: CCF C · CORE B · QUALIS B1
- **Conference Partner Index**: 68.0/100 (ranked #366, confidence 0.80, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 54
- **Attendees**: 13
- **Canonical page**: https://www.myhuiban.com/conference/224

## Call for papers

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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## Related journals

- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
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Source: Conference Partner — https://www.myhuiban.com/conference/224 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)