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» MUSETTE: a framework for knowledge capture from experience
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104
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SIGMOD
2010
ACM
249views Database» more  SIGMOD 2010»
15 years 2 months ago
Active knowledge: dynamically enriching RDF knowledge bases by web services
The proliferation of knowledge-sharing communities and the advances in information extraction have enabled the construction of large knowledge bases using the RDF data model to re...
Nicoleta Preda, Gjergji Kasneci, Fabian M. Suchane...
ICIAP
2007
ACM
15 years 9 months ago
Face Shape Reconstruction from Image Sequence Taken with Monocular Camera using Shape Database
We propose a method for reconstructing 3D face shape from a camera, which captures the object face from various viewing angles. In this method, we do not directly reconstruct the ...
Hideo Saito, Yosuke Ito, Masaaki Mochimaru
PROFES
2000
Springer
15 years 1 months ago
LIDs: A Light-Weight Approach to Experience Elicitation and Reuse
Building common ontologies, setting up measurement programs, and conducting interviews are valid techniques to start eliciting knowledge and experience for later reuse. However, th...
Kurt Schneider
3DIM
1999
IEEE
15 years 1 months ago
Faithful Recovering of Quadric Surfaces from 3D Range Data
The paper proposes a reliable method for estimating quadric surfaces from 3D range data in the framework of object recognition and localization or object modelling. Instead of est...
Naoufel Werghi, Anthony Ashbrook, Robert B. Fisher...
60
Voted
IJCAI
2007
14 years 11 months ago
Extracting Chatbot Knowledge from Online Discussion Forums
This paper presents a novel approach for extracting high-quality <thread-title, reply> pairs as chat knowledge from online discussion forums so as to efficiently support the...
Jizhou Huang, Ming Zhou, Dan Yang