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