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Information in all forms is increasingly available, but using it effectively requires a range of technologies for acquiring and representing that information. These technologies constitute knowledge capture, and involve the extraction of useful knowledge from vast and diverse sources of information as well as its acquisition directly from users. Driven by the demands for knowledge-based applications and the unprecedented availability of information on the Internet, the study of knowledge capture has a renewed importance.
Although there has been considerable work in the area of knowledge capture, activities have been distributed across several distinct research communities, including knowledge engineering, machine learning, natural language processing, and the Semantic Web community. K-CAP 2005 will provide a forum that brings together disparate research communities such as these, whose members are interested in efficiently capturing knowledge from a variety of sources and in creating representations that can be useful for reasoning. We solicit high-quality research papers for publication and presentation at our conference. Our aim is to promote multidisciplinary research that could lead to a new generation of tools and methodologies for knowledge capture. K-CAP 2005 follows on the success of two previous conferences in 2003 (Florida, USA) and 2001 (Victoria, Canada).
Topics of interest include, but are not limited to:
* Knowledge acquisition tools
* Advice taking systems
* Authoring tools
* Learning apprentices
* Knowledge engineering and modeling methodologies
* Knowledge extraction systems
* Knowledge management environments
* Mixed-initiative decision-support tools
* Knowledge-based markup techniques
* Acquisition of problem-solving knowledge
* Knowledge capture for the Semantic Web
IMPORTANT DATES
Paper submission deadline: May 6, 2005
Review results available: June 17, 2005
Camera-ready version due: July 15, 2005
Conference: October 2-5, 2005