Knowledge Capture (K-CAP) 2009

Logistics

• When: Sep 1, 2009 08:30 - Sep 4, 2009 18:00
  Timezone: (GMT-8) Pacific Time (US & Canada)
• Where: Redondo Beach, CA / North America
• Registration: Click Here for Details

Description

The Fifth International Conference on Knowledge Capture

In today's knowledge-driven world, effective access to and use of information is a key enabler for progress. Modern technologies not only are themselves knowledge-intensive technologies, but also produce enormous amounts of new information that we must process and aggregate. These technologies require knowledge capture, which 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 Web, the study of knowledge capture has a renewed importance.

Researchers that work in the area of knowledge capture traditionally belong to several distinct research communities, including knowledge engineering, machine learning, natural language processing, human-computer interaction, artificial intelligence and the Semantic Web. K-CAP 2009 will provide a forum that brings together members of disparate research communities that are interested in efficiently capturing knowledge from a variety of sources and in creating representations that can be useful for reasoning, analysis, and other forms of machine processing. 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 2009 follows on the success of four previous conferences in 2007 (Whistler, Canada), in 2005 (Banff, Canada), in 2003 (Florida, USA), and 2001 (Victoria, Canada).

The Fifth International Conference on Knowledge Capture, K-CAP 2009 will feature Invited Talks, Technical Papers, Workshops, Posters and Demos on a range of topics including:

* Knowledge acquisition tools
* Authoring tools
* Knowledge extraction systems
* Knowledge management environments
* Knowledge capture for the Semantic Web
* Collaborative and social approaches to knowledge management and acquisition
* Learning apprentices
* Mixed-initiative planning and decision-support tools
* Acquisition of problem-solving knowledge
* Knowledge-based markup techniques
* Advice taking systems
* Knowledge engineering and modeling methodologies

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