Title :
Text Mining Based on Domain Ontology
Author :
Hu, Feng ; Zhang, Yu-feng
Author_Institution :
Center for Studies of Inf. Resources, Wuhan Univ., Wuhan, China
Abstract :
Text mining is an effective means of acquiring potentially useful knowledge from text document. However, traditional text mining cannot achieve high accuracy, because it cannot effectively make use of the semantic information of the text. Ontology provides theoretical basis and technical support for semantic information representation and organization. This paper introduces and analyzes text mining based on domain ontology.
Keywords :
data mining; ontologies (artificial intelligence); text analysis; domain ontology; knowledge acquisition; semantic information representation; technical support; text document; text mining; Feature extraction; Ontologies; Semantics; Text categorization; Text mining; Domain Ontology; Text Mining; Vector Space Model (VSM);
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.370