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, social networks and the Semantic Web. K-CAP 2011 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 2011 follows on the success of five previous conferences in 2009 (California, USA), 2007 (Whistler, Canada), in 2005 (Banff, Canada), in 2003 (Florida, USA), and 2001 (Victoria, Canada). And this year we will celebrate the 25th anniversary of the first Knowledge Acquisition Workshop, which was held in Banff in October 1986.