International Conference on Knowledge Science, Engineering and Management

Event Dates

Aug 06, 2022 - Aug 08, 2022

Location

Singapore

Submission Deadline

Mar 15, 2022

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