A Way of Constructing a Knowledge Base by Analyzing Korean Text

Natural language can be used as a knowledge representation language, but direct manipulation of it in a machine is cumbersome. Natural language, however, can be converted into other knowledge representation language which is easier to handle in a computer. A way of automatic knowledge base construction by using Korean text is described in this article. In the proposed method, each input sentence is translated into a dependency structure according to the dependency relation defined in the parser. The dependency structure is used to generate a corresponding conceptual graph and it is stored in a knowledge base which can retrieve a graph efficiently.
Publisher
The Koreas Socirty for Cognitive Science
Issue Date
1996
Keywords

Knowledge Base; Conceptual Graph; Dependency Grammar

Citation

Korean Journal of Cognitive Science, Vol. 7, No. 4, pp. 203-216

URI
http://hdl.handle.net/10203/5710
Link
http://kscs.cafe24.com/main-2.htm
Appears in Collection
CS-Journal Papers(저널논문)
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