DocumentCode
1974354
Title
Overview of Ontology-Based Information Extraction
Author
Yang Xiquan ; Gao Rui ; Meng Xiao
Author_Institution
Sch. of Comput. Sci. & Inf. Technol., Northeast Normal Univ., Changchun, China
fYear
2010
fDate
20-22 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
The research on Information Extraction (IE) aims at providing more powerful information access tools to help people overcome the problem of information overloading. In this paper, the basic IE methods are summarized based on domain ontology. The ontology-driven IE model is elaborated in detail. Moreover, the features of ontology-driven IE are compared with those of document-driven IE. Then the performance index of IE system is evaluated. Finally, the developing direction of IE is discussed.
Keywords
ontologies (artificial intelligence); performance index; document-driven IE system; information access tools; information overloading; ontology-based information extraction; ontology-driven IE model; performance index; Conferences; Data mining; Measurement; Ontologies; Presses; Semantic Web; Semantics;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Technology and Applications, 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5142-5
Electronic_ISBN
978-1-4244-5143-2
Type
conf
DOI
10.1109/ITAPP.2010.5566114
Filename
5566114
Link To Document