** Full Paper submission is now closed. **
** Posters submission deadline extended: June 1st 2004 **
** Invitation to submit technology demos: July 15th 2004 **

The 14th International Conference on Knowledge Engineering and Knowledge Management is concerned with all aspects of eliciting, acquiring, modelling and managing knowledge, and their role in the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent integration information, etc. Submissions are invited on relevant topics, including but not restricted to:

A) KNOWLEDGE SERVICES AND THE SEMANTIC WEB
  • Knowledge Modelling, Knowledge Annotation, Knowledge Management and Knowledge Evolution on the SemanticWeb
  • Semantic web services: Theory, Tools and Applications
  • Problem solving methods and semantic web services
  • Ontology-based wrapper technology
  • Semantic Portals
  • Human language technologies and the Semantic Web
  • Peer to Peer communication between semantic systems
  • Brokering systems
  • Architectures for the Semantic Web
B) KNOWLEDGE MANAGEMENT
  • Methodologies and tools for Knowledge Management
  • Methodologies and tools for (possible distributed) corporate memory construction, evaluation and evolution
  • Knowledge Management Applications
  • Social and human factors dimensions of knowledge management
  • Knowledge acquisition, work place analysis and requirements engineering for knowledge modelling
  • Knowledge modelling and enterprise modelling
  • Human language technologies and Knowledge Management
C) ONTOLOGIES
  • Languages, techniques, tools and methodologies for Knowledge Acquisition, Modelling and Management
  • Methods and tools for collaborative building, evolution and evaluation of ontologies
  • Ontology Learning from natural language, from semi-structured data and from structured data
  • Methodologies and tools for ontology reengineering, reuse, merging, alignment, integration and certification
  • Ontologies and agents
  • Ontologies and Information Sharing
  • Ontologies and Intelligent Integration Information
D) 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
  • Evaluation of methods, techniques and tools for Knowledge Acquisition
  • Knowledge modelling for improving Human Computer Interaction

Chairs

Enrico Motta
Knowledge Media Institute
The Open University
Milton Keynes
MK7 6AA
United Kingdom


Nigel Shadbolt
School of Electronics and Computer Science
University of Southampton
Highfield
Southampton
SO17 1BJ
United Kingdom