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» Automatic Composition and Selection of Semantic Web Services
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ICASSP
2009
IEEE
15 years 4 months ago
Annotating images by harnessing worldwide user-tagged photos
Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag’s visual diversity. Meanwhile, social user tagging ...
Xirong Li, Cees G. M. Snoek, Marcel Worring
CVPR
2011
IEEE
14 years 4 months ago
High Level Describable Attributes for Predicting Aesthetics and Interestingness
With the rise in popularity of digital cameras, the amount of visual data available on the web is growing exponentially. Some of these pictures are extremely beautiful and aesthet...
Sagnik Dhar, Vicente Ordonez, Tamara Berg
ESWS
2009
Springer
15 years 4 months ago
Improving Ontology Matching Using Meta-level Learning
Despite serious research efforts, automatic ontology matching still suffers from severe problems with respect to the quality of matching results. Existing matching systems trade-of...
Kai Eckert, Christian Meilicke, Heiner Stuckenschm...
WWW
2010
ACM
15 years 1 months ago
Enabling entity-based aggregators for web 2.0 data
Selecting and presenting content culled from multiple heterogeneous and physically distributed sources is a challenging task. The exponential growth of the web data in modern time...
Ekaterini Ioannou, Claudia Niederée, Yannis...
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
15 years 9 months ago
Discovering informative content blocks from Web documents
In this paper, we propose a new approach to discover informative contents from a set of tabular documents (or Web pages) of a Web site. Our system, InfoDiscoverer, first partition...
Shian-Hua Lin, Jan-Ming Ho