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ESWS
2006
Springer
14 years 7 days ago
Automatic Extraction of Hierarchical Relations from Text
Abstract. Automatic extraction of semantic relationships between entity instances in an ontology is useful for attaching richer semantic metadata to documents. In this paper we pro...
Ting Wang, Yaoyong Li, Kalina Bontcheva, Hamish Cu...
MM
2005
ACM
171views Multimedia» more  MM 2005»
14 years 2 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
PVLDB
2008
205views more  PVLDB 2008»
13 years 8 months ago
Making SENSE: socially enhanced search and exploration
Online communities like Flickr, del.icio.us and YouTube have established themselves as very popular and powerful services for publishing and searching contents, but also for ident...
Tom Crecelius, Mouna Kacimi, Sebastian Michel, Tho...
IJCNN
2007
IEEE
14 years 2 months ago
Neurolinguistic Approach to Vector Representation of Medical Concepts
Abstract—Putative brain processes responsible for understanding language are based on spreading activation in semantic networks, providing enhanced representations that involve c...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian
ICIP
2008
IEEE
14 years 10 months ago
Cross-domain learning methods for high-level visual concept classification
Exploding amounts of multimedia data increasingly require automatic indexing and classification, e.g. training classifiers to produce high-level features, or semantic concepts, ch...
Wei Jiang, Eric Zavesky, Shih-Fu Chang, Alexander ...