EAN: 9783031007170

SYNTHESIS LECTURES ON DATA MANAGEMENT UNCERTA...

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

Aktuelle Preise zur EAN 9783031007170

Produktinformationen zur 9783031007170