First International Conference on Knowledge Science, Engineering and Management (KSEM'2006)

Event Detail

General Information
Dates:
Saturday, August 5, 2006 - Tuesday, August 8, 2006
Days of Week:
Sunday
Monday
Tuesday
Saturday
Target Audience:
Academic and Practice
Location:
Guilin City, China
Sponsor:
Event Details/Other Comments:

Co-located with PRICAI'2006 (http://www.csse.monash.edu.au/pricai06)

The aim of this interdisciplinary conference is to provide
a forum for researchers in the broad areas of knowledge science, knowledge
engineering, and knowledge management to exchange ideas and to report state
of the art research results. We invite submissions that are original and not
yet published. The topics of interest include but are not limited to:

* Knowledge Science
- Knowledge representation and reasoning
- Logics of knowledge; formal analysis of knowledge; reasoning about knowledge
- Knowledge complexity and knowledge metrics
- Commonsense knowledge; nonmonotonic reasoning
- Uncertainty in knowledge (randomness, fuzziness, roughness, vagueness, etc.)
- Reasoning about knowledge in the presence of inconsistency, incompleteness,
context-dependency, etc.
- Belief revision and update
- Cognitive foundations of knowledge
- Knowledge in complex systems (e.g. economical and quantum systems)
- Game-theoretical aspects of knowledge; knowledge in multiagent 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