The 13th International Conference on Knowledge Science, Engineering and Management (KSEM 2020)

Topics

• Knowledge Engineering
  • Knowledge discovery from very large databases
  • Knowledge extraction from texts/big data/Web
  • Knowledge-based software engineering
  • Knowledge integration
  • Conceptual modelling in knowledge-based systems
  • Knowledge-based systems in life sciences
  • Semantic Web: Content and ontological engineering
  • Semantic database systems
  • Knowledge engineering applications
• Knowledge Science
  • Logics of knowledge; formal analysis of knowledge; reasoning about knowledge
  • Knowledge representation and reasoning
  • Common sense knowledge; non-monotonic reasoning
  • Knowledge complexity and knowledge metrics
  • Machine learning
  • Uncertainty in knowledge (randomness, fuzziness, roughness, vagueness)
  • Integration of machine learning and knowledge representation
  • Formal ontologies
  • Belief revision and updates
  • Reasoning about knowledge in the presence of inconsistency, incompleteness and context-dependency
  • Knowledge in complex systems (e.g. economical and quantum systems)
  • Cognitive foundations of knowledge
  • Game-theoretical aspects of knowledge; knowledge in multi-agent systems
• Knowledge Graphs
  • Knowledge graph construction
  • Probabilistic Knowledge Graphs
  • Knowledge graph storage, query and management
  • Knowledge graph query
  • Knowledge graph embedding
  • Learning on knowledge graphs
  • Knowledge graph link prediction
  • Knowledge graph completion
  • Knowledge graph applications
• Knowledge Management
  • Knowledge verification and validation
  • Knowledge creation and acquisition
  • Knowledge management systems
  • Knowledge dissemination
  • Knowledge adaptation
  • Knowledge and data integration
  • Knowledge management best practices and applications