Call for Papers
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As its predecessor conferences KSEM’2009 aims to be an interdisciplinary event, providing a meeting ground for researchers in the broad areas of knowledge science, knowledge engineering, and knowledge management. KSEM’2009 purposes to be a forum for people to share their views, to exchange ideas, to develop new insights and to report state of the art research results.
You are invited to submit papers that are original and not yet published. Papers on the synergism of knowledge science, knowledge engineering and knowledge management are especially welcomed.
The topics of interest include but are not limited too:
- Knowledge Science
- Knowledge representation and reasoning
- Logics of knowledge; formal analysis of knowledge; reasoning about knowledge
- Knowledge complexity and knoweldge metrics
- Commonsense knowledge; non-monotonic reasoning
- Uncertainty in knowledge (randomness, fuzziness, roughness, vagueness etc.)
- Reasoning about knowledge in the presence of inconsistency, incompleteness, context-dependency, etc.
- Cognitive foundations of knowledge
- Knowledge in complex systems (e.g. economical and quantum systems)
- Game-theoretical aspects of knowledge; knowledge in multi-agent systems
- Formal ontology
- Knowledge Engineering
- Knowledge and information extraction from databases and 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 engineering
- Ontological engineering
- Implementation issues in KBS
- Knowledge Management
- Knowledge creation and acquisition
- Knowledge verification and validation
- Knowledge dissemination
- Knowledge management systems
- Organizational ontology
- Data mining and knowledge discovery
- Organizational memory
- Organizational learning
- Knowledge management strategies and practices
- Knowledge management applications
- Any topics on the synergism of Knowledge Science, Knowledge Engineering and Knowledge Management.