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CoopIS 2026: International Conference on Cooperative Information Systems

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截稿日期:
2026-07-03 延期
通知日期:
2026-07-17
会议日期:
2026-10-26
会议地点:
Angers, France
届数:
32
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CCF: C   ICORE: B   QUALIS: B1   浏览: 63226   关注: 54   参加: 13
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CoopIS
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会伴指数 (CP-I)

68.0 / 100
全站第 367 名 / 共 5,694 个会议 · 前 7%

信息系统与 Web 第 19 / 253

学术认可 (35%)
78
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
94
社区关注 (10%)
66
资料公开度 (15%)
35

用到的输入: 收录等级：CCF C, ICORE B, QUALIS B1 · 有据可查的届次：32 · 在会伴关注它的研究者：54 人 · 过去 24 个月打开过本页的研究者：39 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-09

征稿

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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