You do not have permission to edit this page, for the following reason:
The action you have requested is limited to users in the group: Users.
Add another
== 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
Save page Show preview Cancel