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All CFPs on WikiCFP | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Present CFP : 2022 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 onotonic reasoning • 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 graphs 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 Management • Knowledge creation and acquisition • Knowledge verification and validation (e.g. Blockchain) • Knowledge protection and attack detection • Smart knowledge and resource optimization • 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 Special Sessions • Knowledge-based systems for CO2 reduction • Knowledge-based systems for smart energy • Knowledge-based systems for cybersecurity | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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