http://ekaw.vse.cz/index.php 数据挖掘研究院
2nd-6th October 2006 - Podebrady (near Prague), Czech Republic
Latest updates:
| 03.03.2006 | Accommodation |
| 03.03.2006 | Committees |
| 03.03.2006 | Welcome Page |
The 15th International Conference on Knowledge Engineering and Knowledge Management is concerned with all aspects of eliciting, acquiring, modelling, managing and exploiting knowledge, and the role of these aspects in the construction of knowledge-intensive systems and services. In particular, but not exclusively, we solicit papers about the following topics:
A) ONTOLOGIES AND THE SEMANTIC WEB
- Languages for ontologies and the semantic web
- Methods and tools for collaborative building, evolution and evaluation of ontologies
- Knowledge modelling, knowledge management and knowledge evolution on the semantic web
- Ontology learning
- Ontology reengineering, reuse, merging, alignment, integration and certification
- Ontologies for information sharing and intelligent information integration
- Ontology-based annotation
- Multimedia technologies and the semantic web
- Semantic Wikis, Semantic Bloggs
B) SEMANTICS FOR GRID AND WEB SERVICES
- Semantic web services: Theory, Tools and Applications
- Semantic grid services: Theory, infrastructure and Applications
- Knowledge Services for e-Science
- Problem solving methods and semantic web services
- Peer to Peer communication between semantic systems
- Brokering systems
- Ontologies and agents
- Semantic Portals
C) KNOWLEDGE AND SOCIAL NETWORKS
- Social and human factors dimensions of knowledge management
- Knowledge and social network analysis & modelling
- Knowledge in trust networks
D) KNOWLEDGE MANAGEMENT
- Methodologies and tools for Knowledge Management
- Methodologies and tools for (possibly distributed) corporate memory construction, evaluation and evolution
- Knowledge modelling and enterprise modelling
- Human language technologies and Knowledge Management
E) KNOWLEDGE ACQUISITION and MODELLING
- Advanced Knowledge modelling languages and tools
- Knowledge capture through machine learning and knowledge discovery in data bases
- Specific knowledge modelling issues for CBR systems, cooperative KBS, training applications
- Knowledge Acquisition from texts and WWW
- Evaluation of methods, techniques and tools for Knowledge Acquisition
- Knowledge engineering and software engineering
- Uncertainty and vagueness aspects of knowledge modelling
