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KSEM 2018 : Knowledge Science, Engineering and Management

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Link: http://ksem2018.venue.link
 
When Aug 17, 2018 - Aug 19, 2018
Where Changchun, China
Submission Deadline Apr 14, 2018
Notification Due May 27, 2018
Final Version Due Jun 10, 2018
Categories    artificial intelligence   knowledge science   knowledge engineering   knowledge management
 

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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