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• K-CAP
  |Title=International Conference on Knowledge Capture
  230 bytes (33 words) - 08:21, 26 February 2020
• K-CAP 2013
  |Title=the 7th International Conference on Knowledge Capture
  265 bytes (32 words) - 15:18, 27 December 2017
• K-CAP 2015
  |Title=the 8th International Conference on Knowledge Capture
  262 bytes (32 words) - 15:26, 27 December 2017
• K-CAP 2001
  |Title=the First International Conference on Knowledge Capture
  266 bytes (32 words) - 15:21, 27 December 2017
• K-CAP 2005
  |Title=the 3rd International Conference on Knowledge Capture
  265 bytes (32 words) - 15:23, 27 December 2017
• K-CAP 2011
  |Title=the 6th International Conference on Knowledge Capture
  265 bytes (32 words) - 15:25, 27 December 2017
• K-CAP 2003
  |Title=the 2nd International Conference on Knowledge Capture
  267 bytes (33 words) - 15:22, 27 December 2017
• HaCIRIC 2009
  ...ore effectively used to generate innovation? How do we capture and diffuse knowledge of innovative solutions?
  4 KB (611 words) - 16:41, 14 October 2008
• NIPS-WEHYS 2008
  * Models of prior knowledge that capture both complexity and distribution dependence for powerful learning.
  3 KB (477 words) - 20:46, 14 October 2008
• WDPP 2009
  ...in the interpretation of data-analyses outcomes. These are all crucial for knowledge discovery.
  3 KB (416 words) - 16:48, 14 October 2008
• KAM 2008
  | Title = International Symposium on Knowledge Acquisition and Modeling Advanced Knowledge modeling languages and tools
  2 KB (314 words) - 22:04, 14 October 2008
• K-CAP 2007
  |Title=International Conference on Knowledge Capture 2007
  446 bytes (56 words) - 15:19, 27 December 2017
• WDLS 2008
  claimed to capture interesting aspects of word meaning and provide an explanation for the rapid acquisition of semantic knowledge by human
  6 KB (821 words) - 12:17, 23 April 2020
• SEMSEARCH 2008
  domain knowledge in a formal manner at a high level of expressiveness. advanced to a state where querying and processing of this knowledge can
  7 KB (920 words) - 22:07, 14 October 2008
• PAN 2008
  - NLP- and knowledge-based retrieval models to capture personal traits
  5 KB (587 words) - 22:19, 14 October 2008
• VSMM 2008
  * 3D Data Capture and Processing in CH ...tive IC-Technologies for the creation, management and reuse of content and knowledge
  3 KB (326 words) - 23:05, 14 October 2008
• IEEE-DEST 2008
  ...ems have several different variants including semantic web, ontology based knowledge sharing, self organizing intelligent agents, trust and recommender systems, Digital ecosystems capture the essence of the classical, complex ecological environment in nature, whe
  4 KB (475 words) - 22:33, 14 October 2008
• ODS 09
  capture distinct domains of human knowledge, and they have the
  6 KB (876 words) - 02:47, 16 December 2008
• K-CAP 2009
  |Title=The Fifth International Conference on Knowledge Capture ...precedented availability of information on the Web, the study of knowledge capture has a renewed importance.
  5 KB (604 words) - 15:23, 27 December 2017
• IEEE DEST 2009
  Knowledge Mapping and Modelling Digital ecosystems capture the essence of the classical, complex ecological environment in nature, whe
  7 KB (941 words) - 16:07, 27 February 2009

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