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» The Relevance of Semantic Subtyping
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ICASSP
2008
IEEE
14 years 2 months ago
On-demand new word learning using world wide web
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...
LREC
2008
105views Education» more  LREC 2008»
13 years 10 months ago
Local Methods for On-Demand Out-of-Vocabulary Word Retrieval
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...
DICTA
2003
13 years 10 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
WECWIS
2008
IEEE
100views ECommerce» more  WECWIS 2008»
14 years 2 months ago
ISENS: A Multi-ontology Query System for the Semantic Deep Web
We present ISENS, a distributed, end-to-end, ontologybased information integration system. In response to a user’s query, our system is capable of retrieving facts from data sou...
Abir Qasem, Dimitre A. Dimitrov, Jeff Heflin
ESWS
2008
Springer
13 years 10 months ago
Enhancing Semantic Search using N-Levels Document Representation
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: For a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...