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Automatic complex schema matching across web query interfaces: A correlation mining approach
Bin He,
Kevin Chen Chuan Chang
National Center for Supercomputing Applications (NCSA)
Electrical and Computer Engineering
Center for Social & Behavioral Science
Siebel School of Computing and Data Science
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Dive into the research topics of 'Automatic complex schema matching across web query interfaces: A correlation mining approach'. Together they form a unique fingerprint.
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Keyphrases
Schema Matching
100%
Web Query Interface
100%
Complexity Matching
100%
Correlation Mining
100%
Ensemble Approach
75%
Query Interface
50%
Last Name
50%
First Names
50%
Existing Techniques
25%
World Wide Web
25%
Good Accuracy
25%
Information Integration
25%
Automatic Processes
25%
Semantic Relations
25%
Co-present
25%
Search Space
25%
Heterogeneous Data Sources
25%
Deep Web
25%
Majority Voting
25%
Attribute Group
25%
Co-occurrence Patterns
25%
Semantic Correspondence
25%
Complex Semantics
25%
Complex Search
25%
Data Preprocessing
25%
Automatic Method
25%
Matching Process
25%
Ranked Results
25%
Matcher
25%
Matching Accuracy
25%
Computer Science
Ensemble Approach
100%
Positive Correlation
33%
Search Space
33%
Deep Web
33%
Attribute Group
33%
Information Integration
33%
Semantic Relationship
33%
Negative Correlation
33%
Data Preprocessing
33%
Majority Voting
33%
Matching Process
33%