A Way of Constructing a Knowledge Base by Analyzing Korean Text

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dc.contributor.authorYang, Gi-Chul-
dc.contributor.authorChoi, Key-Sun-
dc.date.accessioned2008-07-14T04:41:50Z-
dc.date.available2008-07-14T04:41:50Z-
dc.date.issued1996-
dc.identifier.citationKorean Journal of Cognitive Science, Vol. 7, No. 4, pp. 203-216en
dc.identifier.urihttp://kscs.cafe24.com/main-2.htm-
dc.identifier.urihttp://hdl.handle.net/10203/5710-
dc.description.abstractNatural 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.en
dc.language.isoen_USen
dc.publisherThe Koreas Socirty for Cognitive Scienceen
dc.subjectKnowledge Baseen
dc.subjectConceptual Graphen
dc.subjectDependency Grammaren
dc.titleA Way of Constructing a Knowledge Base by Analyzing Korean Texten
dc.typeArticleen
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