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Approximate Top-K Answering under Uncertain Schema Mappings
Longzhuang Li
, Feng Tian
,
Yonghuai Liu
, Shanxian Mao
Computer Science
Texas A&M University
Xi'an Jiaotong University
Research output
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peer-review
49
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Dive into the research topics of 'Approximate Top-K Answering under Uncertain Schema Mappings'. Together they form a unique fingerprint.
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Keyphrases
Algorithm-based
20%
Attribute Matching
20%
Data Integration
20%
Data Integration System
40%
Existing Algorithms
20%
Heterogeneous Data Sources
20%
Histogram Algorithm
20%
Histogram Approximation
20%
Information Exchange
20%
Integration Techniques
20%
Peer-to-peer Systems
20%
Query Answering
20%
Schema Mapping
100%
Source Maps
20%
Tuple
80%
Uncertain Query
20%
Computer Science
Approximation (Algorithm)
20%
Data Integration System
40%
Data Integration Technique
20%
Data Source
20%
Heterogeneous Data
20%
Histogram Algorithm
20%
Multiple Schema
20%
Peer-to-Peer System
20%
Probability
40%
query answering
20%
Schema Mapping
100%
Table Semantics
20%
Tuple Semantics
20%