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KSEM 2021 : The 14th International Conference on Knowledge Science, Engineering and Management

Tokyo, Japan
Event Date: Aug 14, 2021 - Aug 16, 2021
Submission Deadline: Mar 15, 2021
Notification of Acceptance: Jun 01, 2021
Camera Ready Version Due : Jun 20, 2021

About

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. KSEM is in the list of CCF (China Computer Federation) recommended Conferences (C series, Artificial Intelligence).

Call For Paper

The conference committee invites submissions of applied or theoretical research as well as of application-oriented papers on all the 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
• Common sense knowledge; non-monotonic reasoning
• Uncertainty in knowledge (randomness, fuzziness, roughness, vagueness)
• Machine learning
• Formal ontologies
• Integration of machine learning and knowledge representation
• Reasoning about knowledge in the presence of inconsistency, incompleteness and context-dependency
• Belief revision and updates
• Cognitive foundations of knowledge
• Knowledge in complex systems (e.g. economical and quantum systems)
• Game-theoretical aspects of knowledge; knowledge in multi-agent systems

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 and ontological engineering
• Knowledge engineering applications

Knowledge Management

• Knowledge creation and acquisition
• Knowledge verification and validation
• Knowledge dissemination
• Knowledge management systems
• Knowledge and data integration
• Knowledge adaptation
• Knowledge management best practices and applications

Knowledge Graphs

• Probabilistic Knowledge Graphs
• Knowledge graph construction
• Knowledge graph query
• Knowledge graph storage, query and management
• Learning on knowledge graphs
• Knowledge graph embedding
• Knowledge graph completion

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