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
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;
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
DOI :
10.1109/ITAPP.2010.5566114
