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» Learning to Extract Information for the Semantic Web
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AI
2008
Springer
16 years 6 days ago
Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions
In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
Marina Sokolova, Guy Lapalme
ISMIR
2005
Springer
145views Music» more  ISMIR 2005»
15 years 11 months ago
Geospatial Location of Music and Sound Files for Music Information Retrieval
A relatively new avenue of Web-based information retrieval research, intended to semantically improve information extraction, is the idea of using geographical information to accu...
Ian Knopke
WWW
2009
ACM
16 years 19 days ago
Instance-based probabilistic reasoning in the semantic web
Most of the approaches for dealing with uncertainty in the Semantic Web rely on the principle that this uncertainty is already asserted. In this paper, we propose a new approach t...
Pedro Oliveira, Paulo Gomes
MM
2006
ACM
217views Multimedia» more  MM 2006»
15 years 11 months ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...
ICCBR
2005
Springer
15 years 11 months ago
Extending jCOLIBRI for Textual CBR
Abstract. This paper summarises our work in textual Case-Based Reasoning within jCOLIBRI. We use Information Extraction techniques to annotate web pages to facilitate semantic retr...
Juan A. Recio-García, Belén Dí...