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» Learning Classifiers from Semantically Heterogeneous Data
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CICLING
2006
Springer
14 years 19 days ago
Application of Semi-supervised Learning to Evaluative Expression Classification
Abstract. We propose to use semi-supervised learning methods to classify evaluative expressions, that is, tuples of subjects, their attributes, and evaluative words, that indicate ...
Yasuhiro Suzuki, Hiroya Takamura, Manabu Okumura
TGIS
2010
137views more  TGIS 2010»
13 years 7 months ago
Semantic Enablement for Spatial Data Infrastructures
Building on abstract reference models, the Open Geospatial Consortium (OGC) has established standards for storing, discovering, and processing geographical information. These stan...
Krzysztof Janowicz, Sven Schade, Arne Bröring...
ESWS
2008
Springer
13 years 10 months ago
A Semantic Web Middleware for Virtual Data Integration on the Web
In this contribution a system is presented, which provides access to distributed data sources using Semantic Web technology. While it was primarily designed for data sharing and sc...
Andreas Langegger, Wolfram Wöß, Martin ...
CBMS
2009
IEEE
14 years 3 months ago
Domain concept-based queries for cancer research data sources
Biomedical scientists generate, access, validate and interpret multiple distributed and heterogeneous data sets. Semantic annotations for these data sets are paramount for exchang...
Alejandra González Beltrán, Anthony ...
CVPR
2005
IEEE
14 years 11 months ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade