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|has program chair=Gang Li, Hengtao Shen, Ye Yuan
|has program chair=Gang Li, Hengtao Shen, Ye Yuan
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<!-- PLEASE ADAPT OR DELETE THIS PART COMPLETELY - You can just paste in the call for papers and remove this and the last line
'''Topics of Interest'''
== Heading text ==


==Topics==
    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:
==Submissions==
==Important Dates==


==Committees==
=== Knowledge Science ===
* Co-Organizers
* General Co-Chairs
** [[has general chair::some person]], some affiliation, country


* PC Co-Chairs
• Knowledge representation and reasoning
** [[has program chair::some person]], some affiliation, country


* Workshop Chair
• Logics of knowledge; formal analysis of knowledge; reasoning about knowledge
** [[has workshop chair::some person]], some affiliation, country


* Panel Chair
• Knowledge complexity and knowledge metrics
** [[has OC member::some person]], some affiliation, country


* Seminars Chair
• Common sense knowledge; non-monotonic reasoning
** [[has tutorial chair::some person]], some affiliation, country


* Demonstration Co-Chairs
•  Uncertainty in knowledge (randomness, fuzziness, roughness, vagueness)
** [[has demo chair::some person]], some affiliation, country
** [[has demo chair::some person]], some affiliation, country


* Local Organizing Co-Chairs
• Machine learning
** [[has local chair::some person]], some affiliation, country


* Program Committee Members
• Formal ontologies
** [[has PC member::some person]], some affiliation, country
-->
 
• 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
 
• Knowledge graph link prediction
 
• Knowledge graph applications

Revision as of 13:56, 26 March 2020

KSEM 2020
International Conference on Knowledge Science, Engineering and Management
Event in series KSEM
Dates 2020/08/28 (iCal) - 2020/08/30
Homepage: http://ksem2020.org/
Location
Location: Hangzhou, China
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Important dates
Papers: 2020/04/16
Submissions: 2020/04/16
Notification: 2020/05/25
Camera ready due: 2020/06/10
Committees
General chairs: Hai Jin, Xuemin Lin, Xun Wang
PC chairs: Gang Li, Hengtao Shen, Ye Yuan
Table of Contents 


Topics of Interest

Heading text

   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

• Knowledge graph link prediction

• Knowledge graph applications

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