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All CFPs on WikiCFP | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Present CFP : 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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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