KSEM: Knowledge Science, Engineering and Management

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2025 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
KSEM 2024 17th International Conference on Knowledge Science, Engineering and Management
Aug 16, 2024 - Aug 18, 2024 Birmingham, United Kingdom Jan 15, 2024
KSEM 2023 The 16th International Conference on Knowledge Science, Engineering and Management
Aug 16, 2023 - Aug 18, 2023 Guangzhou, China Apr 28, 2023
KSEM 2022 International Conference on Knowledge Science, Engineering and Management
Aug 6, 2022 - Aug 8, 2022 Singapore Mar 15, 2022
KSEM 2021 Knowledge Science, Engineering and Management
Aug 14, 2021 - Aug 16, 2021 Tokyo, Japan Mar 15, 2021
KSEM 2019 The 12th International Conference on Knowledge Science, Engineering and Management
Aug 28, 2019 - Aug 30, 2019 Athens, Greece Apr 15, 2019
KSEM 2018 The 11th International Conference on Knowledge Science, Engineering and Management
Aug 17, 2018 - Aug 19, 2018 Changchun, China Apr 29, 2018
KSEM 2017 The 10th International Conference on Knowledge Science, Engineering and Management
Aug 19, 2017 - Aug 20, 2017 Melbourne, Australia Apr 30, 2017
KSEM 2015 The 8th International Conference on Knowledge Science, Engineering and Management (KSEM 2015)
Oct 28, 2015 - Oct 30, 2015 Chongqing Jun 7, 2015
KSEM 2014 The 7th International Conference on Knowledge Science, Engineering and Management
Oct 16, 2014 - Oct 18, 2014 Sibiu, Romania May 5, 2014
KSEM 2013 The 2013 International Conference on Knowledge Science, Engineering and Management
Aug 10, 2013 - Aug 12, 2013 Dalian, China Mar 31, 2013 (Apr 30, 2013)
KSEM 2010 The fourth International Conference on Knowledge Science, Engineering and Management (KSEM`2010)
Sep 1, 2010 - Sep 3, 2010 Belfast, Northern Ireland, UK Mar 30, 2010
 
 

Present CFP : 2024

A PDF flyer for the call-for-papers can be downloaded from:
https://ai-edge.net/files/CFPKSEM2024latest.pdf

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
• Formal analysis of knowledge; reasoning about knowledge
• Knowledge complexity and knowledge metrics
• Uncertainty in knowledge (randomness, fuzziness, roughness, vagueness)
• Knowledge fusion for decision making
• Formal ontologies
• Reasoning about knowledge in the presence of inconsistency, incompleteness and context-dependency
• Belief propagation, revision and aggregation
• Cognitive foundations of knowledge
• Integration of machine learning and knowledge representation
• Knowledge-driven learning
• Knowledge for cognitive robotics
• Knowledge for cognitive analytics
• Knowledge in complex systems (e.g. manufacture assembling, economical and quantum systems)
• Game-theoretical aspects of knowledge; knowledge in multi-agent systems

Knowledge Engineering

• Knowledge modeling
• Knowledge acquisition, such as knowledge modules, temporal knowledge, etc.
• Knowledge extraction from texts/videos, big data/Web
• Knowledge discovery from very large databases
• Knowledge integration
• Knowledge-based software engineering
• Knowledge-based systems in life sciences
• Knowledge-based systems for smart homes
• Conceptual modeling in knowledge-based systems
• Semantic database systems
• Semantic Web: Content and ontological engineering
• Knowledge engineering applications
• Knowledge modeling for digital twins
• Knowledge-based system for Chatbot
• Knowledge-based system and Large Language Models (LLMs)

Knowledge Management

• Knowledge management best practices and applications
• Knowledge verification and validation (e.g. Blockchain)
• Knowledge protection and attack detection
• Knowledge-Based Systems in Cybersecurity Threat Detection and Intelligent Decision-Making
• Smart knowledge and resource optimization
• Knowledge dissemination
• Knowledge management systems
• Knowledge and data integration
• Knowledge adaptation

Knowledge Graphs

• Knowledge graph storage and management
• Probabilistic knowledge graphs
• Knowledge graph construction
• Knowledge graph query
• Learning on knowledge graphs
• Knowledge graph embedding
• Knowledge graph completion
• Multi-modal knowledge graphs
• Knowledge graph applications
• Deep graph neural networks
 

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