Difference between revisions of "KSEM 2020"
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|Submission deadline=2020/04/16 | |Submission deadline=2020/04/16 | ||
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|Paper deadline=2020/04/16 | |Paper deadline=2020/04/16 | ||
|Notification=2020/05/25 | |Notification=2020/05/25 | ||
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|has general chair=Hai Jin, Xuemin Lin, Xun Wang | |has general chair=Hai Jin, Xuemin Lin, Xun Wang | ||
|has program chair=Gang Li, Hengtao Shen, Ye Yuan | |has program chair=Gang Li, Hengtao Shen, Ye Yuan | ||
| − | |State=CN/ZJ}} | + | |Acronym=KSEM 2020 |
| + | |End date=2020/08/30 | ||
| + | |Series =KSEM | ||
| + | |Type =Conference | ||
| + | |Country=CN | ||
| + | |State =CN/ZJ | ||
| + | |City =CN/ZJ/Hangzhou | ||
| + | |Homepage=http://ksem2020.org/ | ||
| + | |Start date=2020/08/28 | ||
| + | |Title =International Conference on Knowledge Science, Engineering and Management}} | ||
== Topics of Interest == | == Topics of Interest == | ||
Revision as of 21:24, 3 November 2021
Event Rating
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List of all ratings can be found at KSEM 2020/rating
| KSEM 2020 | |
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International Conference on Knowledge Science, Engineering and Management
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| Event in series | KSEM |
| Dates | 2020/08/28 (iCal) - 2020/08/30 |
| Homepage: | http://ksem2020.org/ |
| Location | |
| Location: | CN/ZJ/Hangzhou, CN/ZJ, CN |
| 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
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