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2009
Springer

A Model for Semantic Equivalence Discovery for Harmonizing Master Data

9 years 2 months ago
A Model for Semantic Equivalence Discovery for Harmonizing Master Data
IT projects often face the challenge of harmonizing metadata and data so as to have a “single” version of the truth. Determining equivalency of multiple data instances against the given type, or set of types, is mandatory in establishing master data legitimacy in a data set that contains multiple incarnations of instances belonging to the same semantic data record . The results of a real-life application define how measuring criteria and equivalence path determination were established via a set of “probes” in conjunction with a score-card approach. There is a need for a suite of supporting models to help determine master data equivalency towards entity resolution---including mapping models, transform models, selection models, match models, an audit and control model, a scorecard model, a rating model. An ORM schema defines the set of supporting models along with their incarnation into an attribute based model as implemented in an RDBMS.
Baba Piprani
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where OTM
Authors Baba Piprani
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