DC Field | Value | Language |
---|---|---|
dc.contributor.author | Huh, Soon-Young | - |
dc.contributor.author | Moon, Kae-Hyun | - |
dc.date.accessioned | 2008-06-17T02:48:03Z | - |
dc.date.available | 2008-06-17T02:48:03Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1999-06 | - |
dc.identifier.citation | 한국데이타베이스학회 1999년도 춘계공동학술대회, v., no.1, pp.161 - 171 | - |
dc.identifier.uri | http://hdl.handle.net/10203/5109 | - |
dc.description.abstract | Query language has been widely used as a convenient tool to obtain information from a database. However, users demand more intelligent query processing systems that can understand the intent of an imprecise query and provide additional useful information as well as exact answers. This paper introduces a meta-database and presents a query processing mechanism that supports a variety of intelligent queries in a consistent and integrated way. The meta-database extracts data abstraction knowledge from an underlying database on the basis of a multilevel knowledge representation framework KAH. In cooperation with the underlying database, the meta-database supports four types of intelligent queries that provide approximately or conceptually equal answers as well as exact ones. | - |
dc.language | ENG | - |
dc.language.iso | en_US | en |
dc.publisher | Korea Intelligent Information Systems Society | - |
dc.title | Intelligent Query Processing Using a Meta-Database KaDB | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 161 | - |
dc.citation.endingpage | 171 | - |
dc.citation.publicationname | 한국데이타베이스학회 1999년도 춘계공동학술대회 | - |
dc.identifier.conferencecountry | South Korea | - |
dc.identifier.conferencecountry | South Korea | - |
dc.contributor.localauthor | Huh, Soon-Young | - |
dc.contributor.nonIdAuthor | Moon, Kae-Hyun | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.