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dc.contributor.authorKang, IS-
dc.contributor.authorBae, JHJ-
dc.contributor.authorLee, JH-
dc.date.accessioned2016-04-01T02:12:35Z-
dc.date.available2016-04-01T02:12:35Z-
dc.date.created2010-01-11-
dc.date.issued2005-01-
dc.identifier.issn0302-9743-
dc.identifier.other2005-OAK-0000005022-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/24661-
dc.description.abstractIn most natural language database interfaces (NLDBI), translation knowledge acquisition heavily depends on human specialties, consequently undermining domain portability. This paper attempts to semi-automatically construct translation knowledge by introducing a physical Entity-Relationship schema, and by simplifying translation knowledge structures. Based on this semi-automatically produced translation knowledge, a noun translation method is proposed in order to resolve NLDBI translation ambiguities.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.relation.isPartOfLECTURE NOTES IN COMPUTER SCIENCE-
dc.subjectSYSTEM-
dc.titleNatural language database access using semi-automatically constructed translation knowledge-
dc.typeArticle-
dc.contributor.college컴퓨터공학과-
dc.identifier.doi10.1007/978-3-540-30211-7_30-
dc.author.googleKang, IS-
dc.author.googleBae, JHJ-
dc.author.googleLee, JH-
dc.relation.volume3248-
dc.relation.startpage280-
dc.relation.lastpage289-
dc.contributor.id10083961-
dc.relation.journalLECTURE NOTES IN COMPUTER SCIENCE-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCIE-
dc.collections.nameConference Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationLECTURE NOTES IN COMPUTER SCIENCE, v.3248, pp.280 - 289-
dc.identifier.wosid000228359800030-
dc.date.tcdate2018-03-23-
dc.citation.endPage289-
dc.citation.startPage280-
dc.citation.titleLECTURE NOTES IN COMPUTER SCIENCE-
dc.citation.volume3248-
dc.contributor.affiliatedAuthorLee, JH-
dc.identifier.scopusid2-s2.0-26444440934-
dc.description.journalClass1-
dc.description.journalClass1-
dc.type.docTypeArticle; Proceedings Paper-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-

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Grad. School of AI
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