K-CAP 2015 - 2015 Knowledge Capture Conference

In today's information-centric world, effective access to and use of knowledge is a key enabler for progress. Driven by the demands for intelligent applications and the explosion of information on the Web, the study of Knowledge Capture is crucially important. Knowledge Capture is the extraction of useful knowledge from diverse sources: unstructured information sources, semi-structured and structured data sources, knowledge graphs and directly from crowds and individuals, either through observation or implicit or explicit elicitation.
The wealth of information available from such a variety of sources calls for new methods of Knowledge Capture that draw both from traditional knowledge acquisition techniques and from more data-driven techniques such as large-scale data mining, statistical analysis and data analytics.
Researchers and practitioners who work in the area of Knowledge Capture traditionally participate in several distinct communities, including Knowledge Engineering, Machine Learning, Natural Language Processing, Human-Computer Interaction, Artificial Inteligence and the Semantic Web. K-CAP 2015 will provide a forum to bring together members of disparate research communities who are interested in all aspects of capturing knowledge from a variety of sources, as well as those interested in creating representations that can be useful for reasoning, analysis, and other forms of machine processing.