Uncertain Schema Matching - Avigdor Gal
-20% with code BOOKS
Shipping in 12-18 days
30-day return policy
Schema matching is the task of providing correspondences between concepts describing the meaning of data in various heterogeneous, distributed data sources. Schema matching is one of the basic operations required by the process of data and schema integration, and thus has a great effect on its outcomes, whether these involve targeted content delivery, view integration, database integration, query rewriting ... Full description
You May Also Like
TOP
The Demon-Haunted World: Science as a Candle in the Dark
-20% with code BOOKS
In stock at our supplier
TOP
Heart Rate Variability: Science and Strategies for Peak Performance
Marco Altini, Sylvain Laborde, Dan Plews, Emma Mosley
-20% with code BOOKS
Out of stock
TOP
Many Faces, One Purpose: A Managers Handbook on Women in Firefighting
U. S. Fire Administration, Homeland Security
-20% with code BOOKS
Out of stock
TOP
The Gulf Moment: Arab Relations Since 2011
Florence Gaub, U. S. Army War College, Strategic Studies Institute
-20% with code BOOKS
Out of stock
TOP
Medizinisches Englisch pocket
-20% with code BOOKS
In stock at our supplier
TOP
Introduction to Algorithms
Ronald L. Rivest, Charles E. Leiserson, Clifford Stein, Thomas H. Cormen
-20% with code BOOKS
In stock at our supplier
TOP
Thinking in Systems: International Bestseller
-20% with code BOOKS
In stock at our supplier
TOP
Integrating Special Forces and the ATLAS Network: A Theoretical Framework for Strategic Security Cooperation in Europe
-20% with code BOOKS
In stock at our supplier
TOP
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
-20% with code BOOKS
In stock at our supplier
TOP
101 Things I Learned in Architecture School
-20% with code BOOKS
In stock at our supplier
TOP
Skin in the Game: Hidden Asymmetries in Daily Life
-20% with code BOOKS
In stock at our supplier
TOP
Dinosaurs and Prehistoric Life: The Definitive Visual Guide to Prehistoric Animals
-20% with code BOOKS
In stock at our supplier
TOP
International Economics: Theory and Policy, Global Edition
Paul Krugman, Maurice Obstfeld, Marc Melitz
-20% with code BOOKS
In stock at our supplier
TOP
The Unaccountability Machine: Why Big Systems Make Terrible Decisions
-20% with code BOOKS
In stock at our supplier
TOP
Nudge: Improving Decisions About Health, Wealth and Happiness
Cass R Sunstein, Richard H. Thaler
-20% with code BOOKS
In stock
TOP
Crossing Borders: About the birth of the Consortium of European Research Libraries, the organisation's early years and its path to maturity, spanning the period from the late twentieth century to the first decades of the twenty-first century
-20% with code BOOKS
In stock at our supplier
TOP
Cybernetics: Second Edition: Or the Control and Communication in the Animal and the Machine
-20% with code BOOKS
In stock at our supplier
TOP
Only Dull People Are Brilliant at Breakfast
-20% with code BOOKS
In stock at our supplier
Description
Schema matching is the task of providing correspondences between concepts describing the meaning of data in various heterogeneous, distributed data sources. Schema matching is one of the basic operations required by the process of data and schema integration, and thus has a great effect on its outcomes, whether these involve targeted content delivery, view integration, database integration, query rewriting over heterogeneous sources, duplicate data elimination, or automatic streamlining of workflow activities that involve heterogeneous data sources. Although schema matching research has been ongoing for over 25 years, more recently a realization has emerged that schema matchers are inherently uncertain. Since 2003, work on the uncertainty in schema matching has picked up, along with research on uncertainty in other areas of data management. This lecture presents various aspects of uncertainty in schema matching within a single unified framework. We introduce basic formulations of uncertainty and provide several alternative representations of schema matching uncertainty. Then, we cover two common methods that have been proposed to deal with uncertainty in schema matching, namely ensembles, and top-K matchings, and analyze them in this context. We conclude with a set of real-world applications. Table of Contents: Introduction / Models of Uncertainty / Modeling Uncertain Schema Matching / Schema Matcher Ensembles / Top-K Schema Matchings / Applications / Conclusions and Future Work
More Information
| Author | Avigdor Gal |
|---|---|
| Publisher | Springer International Publishing |
| Series | Synthesis Lectures on Data Management |
| Release year | 2011 |
| Cover type | Softcover |
| EAN | 9783031007170 |