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» Semantic web access prediction using WordNet
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FLAIRS
2006
13 years 6 months ago
Evaluating WordNet Features in Text Classification Models
Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
Trevor N. Mansuy, Robert J. Hilderman
ICSNW
2004
Springer
238views Database» more  ICSNW 2004»
13 years 10 months ago
Knowledge Sifter: Agent-Based Ontology-Driven Search over Heterogeneous Databases Using Semantic Web Services
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emergi...
Larry Kerschberg, Mizan Chowdhury, Alberto Damiano...
LREC
2010
169views Education» more  LREC 2010»
13 years 6 months ago
An LMF-based Web Service for Accessing WordNet-type Semantic Lexicons
This paper describes a Web service for accessing WordNet-type semantic lexicons. The central idea behind the service design is: given a query, the primary functionality of lexicon...
Savas Ali Bora, Yoshihiko Hayashi, Monica Monachin...
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
13 years 9 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman
SDM
2009
SIAM
105views Data Mining» more  SDM 2009»
14 years 2 months ago
Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
The annotation of words and phrases by ontology concepts is extremely helpful for semantic interpretation. However many ontologies, e.g. WordNet, are too fine-grained and even hu...
Gerhard Paaß, Frank Reichartz