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CCGRID
2005
IEEE
12 years 7 months ago
Enabling technologies for future learning scenarios: the semantic grid for human learning
In this paper, starting from the limitations and constrains of traditional human learning approaches, we outline new suitable approaches to education and training in future knowle...
Angelo Gaeta, Pierluigi Ritrovato, Francesco Orciu...
CHI
2004
ACM
13 years 2 months ago
Putting the users center stage: role playing and low-fi prototyping enable end users to design mobile systems
This paper sums up lessons learned from a sequence of cooperative design workshops where end users were enabled to design mobile systems through scenario building, role playing, a...
Dag Svanaes, Gry Seland
EAGC
2004
Springer
12 years 7 months ago
A Grid Service Framework for Metadata Management in Self-e-Learning Networks
Metadata management is critical for Grid systems. More specifically, semantically meaningful resource descriptions constitute a highly beneficial extension to Grid environments t...
George Samaras, Kyriakos Karenos, Eleni Christodou...
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
12 years 8 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
HPDC
2010
IEEE
12 years 3 months ago
Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network
In preparation for the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report, the climate community will run the Coupled Model Intercomparison Project phase 5 (...
Rajkumar Kettimuthu, Alex Sim, Dan Gunter, Bill Al...
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