ICKEA 2027
Call for Papers

Conference Topics

01Topic Scope

Conference Tracks

Papers describing original work, as shown in any topic below, are invited. Acceptance will be based on quality, relevance, originality, etc. Both full research and work-in-progress reports are welcome. Topics of interest for submission include, but are not limited to:

Track 1

Knowledge Representation, Reasoning and Ontology Engineering

  • Knowledge Representation and Reasoning
  • Ontology Engineering and Development
  • Ontology Matching and Alignment
  • Knowledge Acquisition and Modeling
  • Semantic Modeling and Knowledge Representation
  • Rule-Based and Expert Systems
  • Uncertainty Reasoning and Knowledge Inference
  • Knowledge-Based Systems
Track 2

Knowledge Graphs, Semantic Web and Intelligent Information

  • Knowledge Graph Construction and Management
  • Knowledge Graph Embedding and Completion
  • Knowledge Graph Query and Reasoning
  • Multimodal and Dynamic Knowledge Graphs
  • Semantic Web and Linked Data
  • Semantic Search and Information Retrieval
  • Knowledge Discovery and Relationship Mining
  • Metadata and Structured Documents
Track 3

Artificial Intelligence and Knowledge-Driven Systems

  • AI for Knowledge Engineering
  • Machine Learning and Deep Learning
  • Knowledge-Driven Learning
  • Large Language Models and Generative AI
  • Natural Language Processing and Knowledge Extraction
  • Intelligent Agents and Multi-Agent Systems
  • Intelligent Decision Support Systems
  • Cognitive Computing and Intelligent Problem Solving
Track 4

Knowledge Management, Sharing and Organizational Intelligence

  • Knowledge Management Systems
  • Knowledge Sharing and Collaboration
  • Organizational Learning and Organizational Memory
  • Knowledge Management Strategies and Practices
  • Knowledge Services and Dissemination
  • Knowledge Reengineering
  • Digital Libraries, Archives and Repositories
  • Knowledge Management in Organizations
Track 5

Data, Information and Knowledge Engineering

  • Data Mining and Knowledge Discovery
  • Data Integration and Interoperability
  • Big Data and Knowledge Analytics
  • Context Modeling and Management
  • Information Systems and Intelligent Information Management
  • Business Intelligence and Analytics
  • Data and Knowledge Quality
  • Knowledge Visualization
Track 6

Applications of Knowledge Engineering and Intelligent Technologies

  • Knowledge Engineering in Business and E-Commerce
  • Healthcare and Medical Applications
  • Education and E-Learning
  • Smart Cities and Intelligent Communities
  • Industry 4.0 and Smart Manufacturing
  • Decision-Making and Business Applications
  • Human-Computer Interaction
  • Emerging Applications of Knowledge Engineering
02Ready to Submit

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Proceed directly to the online submission system to upload your paper.

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