DocumentCode :
3108929
Title :
Ontology-Based Information Extraction Technology
Author :
Wu, Di ; Wu, Lanlan ; Sun, Tieli ; Jiang, Yingjie ; Yang, Fengqin
Author_Institution :
Sch. of Comput. Sci. & Inf. Technol., Northeast Normal Univ., Changchun, China
fYear :
2011
fDate :
16-18 Aug. 2011
Firstpage :
1
Lastpage :
4
Abstract :
The performance of information extraction can be effectively improved through use of ontology. Based on the discussion of constructing ontology technology and standards related to, on the basis of three layers framework to constructing ontology to resume ontology, university teachers Racer reasoning machine to implement consistency and accuracy testing. Based on this improved the WordNet similarity calculation, through the use of WordNet semantic similarity calculation and manually collecting method of combining the concept of this body, obtain the specific examples, the result proves that the result can be extracted remarkably enhanced.
Keywords :
information retrieval; ontologies (artificial intelligence); Racer reasoning machine; WordNet semantic similarity calculation; ontology technology; ontology-based information extraction technology; Cognition; Data mining; Logic gates; OWL; Ontologies; Semantics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Technology and Applications (iTAP), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7253-6
Type :
conf
DOI :
10.1109/ITAP.2011.6006445
Filename :
6006445
Link To Document :
بازگشت