KSEM 2020: Difference between revisions

Latest revision as of 13:47, 11 June 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, Online
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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
Contents 1 Topics of Interest 1.1 Knowledge Science 1.2 Knowledge Engineering 1.3 Knowledge Management 1.4 Knowledge Graphs

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Topics of Interest

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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 |Series=KSEM
 |Type=Conference
-|Field=Artificial Intelligence‎
 |Start date=2020/08/28
 |End date=2020/08/30
@@ Line 10: / Line 9: @@
 |Homepage=http://ksem2020.org/
 |City=Hangzhou
-|Country=China
+|Country=Online
 |Paper deadline=2020/04/16
 |Notification=2020/05/25
@@ Line 18: / Line 17: @@
 |has program chair=Gang Li, Hengtao Shen, Ye Yuan
 }}
-<!-- 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 ==
-==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