Title :
Semantic annotation of text documents using modified probabilistic neural network
Author :
Bodyanskiy, Yevgeniy ; Shubkina, Olga
Author_Institution :
Dept. of Artificial Intell., Kharkiv Nat. Univ. of Radio Electron., Kharkiv, Ukraine
Abstract :
The modified probabilistic neural network is proposed. It is used for text mining and semantic annotation constructing based on received knowledge and domain ontology.
Keywords :
data mining; neural nets; ontologies (artificial intelligence); text analysis; domain ontology; modified probabilistic neural network; semantic annotation; text documents; text mining; Artificial neural networks; Neurons; Ontologies; Probabilistic logic; Semantics; Training; Vectors; multilayer architecture; probabilistic neural network; semantic annotation;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-1426-9
DOI :
10.1109/IDAACS.2011.6072767
