DocumentCode :
502961
Title :
A CG-based method to construct knowledge base from the text in water conservancy domain
Author :
Kairong, Li ; Xiaoyan, Liu ; Jilin, Cheng ; Weiying, Gao
Author_Institution :
Sch. of Inf. Eng., Yangzhou Univ., Yangzhou, China
Volume :
1
fYear :
2009
fDate :
8-9 Aug. 2009
Firstpage :
257
Lastpage :
260
Abstract :
Aiming to provide semantic information for decision supporting system and constructing a domain knowledge base in which knowledge is represented in a formalized form so as to be understood by machine, this paper suggest a new method which is based on conceptual graph to represent knowledge formally. At first, the system architecture would have been designed, and it consists of knowledge acquirement layer, knowledge management layer and knowledge application layer. Then, the crucial technology, formalizing the domain text by conceptual graph, is expatiated by the domain ontology and knowledge is constructed synchronously. By using the specific computational tool named Prolog+CG for representing and reasoning about water conservancy texts, the validity and efficiency of this method are proven.
Keywords :
decision support systems; environmental science computing; knowledge based systems; ontologies (artificial intelligence); text analysis; water conservation; Prolog+CG; conceptual graph; domain knowledge base; domain ontology; knowledge acquirement layer; knowledge application layer; knowledge management layer; knowledge represention; system architecture; water conservancy texts; Artificial intelligence; Character generation; Communication system control; Control systems; Engineering management; Knowledge engineering; Knowledge management; Knowledge representation; Ontologies; Water conservation; Conceptual Graph; Knowledge; Water Conservancy Domain; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
Type :
conf
DOI :
10.1109/CCCM.2009.5270457
Filename :
5270457
Link To Document :
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