Publication | Open Access
Identifying the Extent of Completeness of Query Answers over Partially Complete Databases
41
Citations
19
References
2015
Year
Unknown Venue
EngineeringCloud DatabasesCollaborative EditingSemantic WebInformation RetrievalData ScienceData MiningQuery AnsweringDatabase SystemDatabase SupportManagementData IntegrationData RetrievalQuery ExpansionBig DataData ManagementStatisticsQuery AnswersHeterogeneous Database SystemKnowledge DiscoveryPartially Complete DatabasesComputer ScienceQuery AnalysisDatabase TheoryQuery OptimizationCloud ComputingData AccessApproximate Query AnsweringData Modeling
In many applications including loosely coupled cloud databases, collaborative editing and network monitoring, data from multiple sources is regularly used for query answering. For reasons such as system failures, insufficient author knowledge or network issues, data may be temporarily unavailable or generally nonexistent. Hence, not all data needed for query answering may be available.
| Year | Citations | |
|---|---|---|
Page 1
Page 1