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» Using Semantic Web Technologies to Analyze Learning Content
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WWW
2005
ACM
15 years 10 months ago
Gimme' the context: context-driven automatic semantic annotation with C-PANKOW
Without the proliferation of formal semantic annotations, the Semantic Web is certainly doomed to failure. In earlier work we presented a new paradigm to avoid this: the 'Sel...
Günter Ladwig, Philipp Cimiano, Steffen Staab
WWW
2009
ACM
15 years 10 months ago
OpenRuleBench: an analysis of the performance of rule engines
The Semantic Web initiative has led to an upsurge of the interest in rules as a general and powerful way of processing, combining, and analyzing semantic information. Since severa...
Senlin Liang, Paul Fodor, Hui Wan, Michael Kifer
WWW
2008
ACM
15 years 10 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
SOCA
2007
IEEE
15 years 4 months ago
Context-aware Process Support through Automatic Selection and Invocation of Semantic Web Services
Current technologies aimed at supporting processes – whether it is a business process or a learning process – are usually based on using a dedicated set of metadata to describ...
Stefan Dietze, Alessio Gugliotta, John Domingue
WWW
2001
ACM
15 years 10 months ago
Towards second and third generation web-based multimedia
First generation Web-content encodes information in handwritten (HTML) Web pages. Second generation Web content generates HTML pages on demand, e.g. by filling in templates with c...
Jacco van Ossenbruggen, Joost Geurts, Frank Cornel...