Publication | Closed Access
SQAK
99
Citations
12
References
2008
Year
Unknown Venue
Relational DatabaseEngineeringInformation RetrievalData ScienceBusiness IntelligenceDatabase SystemDatabase ProcessingKnowledge DiscoveryManagementData IntegrationEnterprise DatabasesKeyword SearchSimple AggregatesSemantic WebDatabase TheoryData ManagementComplex Database
Today's enterprise databases are large and complex, often relating hundreds of entities. Enabling ordinary users to query such databases and derive value from them has been of great interest in database research. Today, keyword search over relational databases allows users to find pieces of information without having to write complicated SQL queries. However, in order to compute even simple aggregates, a user is required to write a SQL statement and can no longer use simple keywords. This not only requires the ordinary user to learn SQL, but also to learn the schema of the complex database in detail in order to correctly construct the required query. This greatly limits the options of the user who wishes to examine a database in more depth.
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