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» Learning with Knowledge from Multiple Experts
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HIS
2003
13 years 8 months ago
Rated MCRDR: Finding non-Linear Relationships Between Classifications in MCRDR
Multiple Classification Ripple Down Rules (MCRDR) is a simple and effective knowledge acquisition technique that produces representations, or knowledge maps, of a human expert’s ...
Richard Dazeley, Byeong Ho Kang
KCAP
2009
ACM
14 years 1 months ago
Knowledge integration across multiple texts
One of the grand challenges of AI is to build systems that learn by reading. The ideal system would construct a rich knowledge base capable of automated reasoning. We have built a...
Doo Soon Kim, Ken Barker, Bruce W. Porter
EDUTAINMENT
2010
Springer
13 years 8 months ago
Transferring Design Knowledge: Challenges and Opportunities
Design becomes more and more the art of bringing together expertise and experts from different domains in creating future products. Synthetical knowledge and hands-on skills in des...
Jun Hu, Wei Chen, Christoph Bartneck, Matthias Rau...
IADIS
2004
13 years 8 months ago
A Case Study on Research Assistant System From Knowledge Management Perspective
The purpose of this study is to develop a web-based Research Assistant System (RAS), a Knowledge Management System by community of practice, to improve the group performance of Re...
Jin Yang, Ming Huang
ICDIM
2008
IEEE
14 years 1 months ago
Unsupervised key-phrases extraction from scientific papers using domain and linguistic knowledge
The domain of Digital Libraries presents specific challenges for unsupervised information extraction to support both the automatic classification of documents and the enhancement ...
Mikalai Krapivin, Maurizio Marchese, Andrei Yadran...