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Call for Papers

KSEM 2018 will be held in Changchun, China on August 17-19, 2018. KSEM is in the list of CCF (China Computer Federation) recommended Conferences (C series, Artificial Intelligence).

The aim of this interdisciplinary conference is to provide a forum for researchers in the broad areas of knowledge science, knowledge engineering, and knowledge management to exchange ideas and to report state of the art research results. The conference committee invites submissions of applied or theoretical research and application-oriented papers on all topics of KSEM. Topics include, but are not limited to the following:

Knowledge Science

  • Knowledge representation and reasoning
  • Logics of knowledge; formal analysis of knowledge; reasoning about knowledge
  • Knowledge complexity and knowledge metrics
  • Commonsense knowledge; nonmonotonic reasoning
  • Uncertainty in knowledge (randomness, fuzziness, roughness, vagueness, etc.)
  • Reasoning about knowledge in the presence of inconsistency, incompleteness, context-dependency, etc.
  • Belief revision and update
  • Cognitive foundations of knowledge
  • Knowledge in complex systems (e.g. economical and quantum systems)
  • Game-theoretical aspects of knowledge; knowledge in multiagent systems
  • Formal ontology

Knowledge Engineering

  • Knowledge extraction from texts/big data/Web
  • Knowledge discovery from very large databases
  • Knowledge integration
  • Knowledge-based software engineering
  • Knowledge-based systems in life sciences
  • Conceptual modelling in knowledge-based systems
  • Semantic database systems
  • Semantic Web
  • Content engineering
  • Ontological engineering
  • Knowledge engineering applications

Knowledge Management

  • Knowledge creation and acquisition
  • Knowledge verification and validation
  • Knowledge dissemination
  • Knowledge management systems
  • Organizational ontology
  • Organizational memory
  • Organizational learning
  • Knowledge management strategies and practices
  • Knowledge management applications

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