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» Using Semantic Web Technologies to Analyze Learning Content
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ICWSM
2009
14 years 7 months ago
Targeting Sentiment Expressions through Supervised Ranking of Linguistic Configurations
User generated content is extremely valuable for mining market intelligence because it is unsolicited. We study the problem of analyzing users' sentiment and opinion in their...
Jason S. Kessler, Nicolas Nicolov
AGENTS
1997
Springer
15 years 1 months ago
A Scalable Comparison-Shopping Agent for the World-Wide Web
The World-Wide-Web is less agent-friendly than we might hope. Most information on the Web is presented in loosely structured natural language text with no agent-readable semantics...
Robert B. Doorenbos, Oren Etzioni, Daniel S. Weld
IPAW
2010
14 years 7 months ago
Reflections on Provenance Ontology Encodings
As more data (especially scientific data) is digitized and put on the Web, the importance of tracking and sharing its provenance metadata grows. Besides capturing the annotation pr...
Li Ding, Jie Bao, James Michaelis, Jun Zhao, Debor...
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WWW
2004
ACM
15 years 10 months ago
Personalization in distributed e-learning environments
Personalized support for learners becomes even more important, when e-Learning takes place in open and dynamic learning and information networks. This paper shows how to realize p...
Peter Dolog, Nicola Henze, Wolfgang Nejdl, Michael...
JCDL
2004
ACM
198views Education» more  JCDL 2004»
15 years 3 months ago
Finding authoritative people from the web
Today’s web is so huge and diverse that it arguably reflects the real world. For this reason, searching the web is a promising approach to find things in the real world. This ...
Masanori Harada, Shin-ya Sato, Kazuhiro Kazama