MOMA - A Mapping-based Object Matching System

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MOMA - A Mapping-based Object Matching System
Object matching or object consolidation is a crucial task for data integration and data cleaning. It addresses the problem of identifying object instances in data sources referring to the same real world entity. We propose a flexible framework called MOMA for mapping-based object matching. It allows the construction of match workflows combining the results of several matcher algorithms on both attribute values and contextual information. The output of a match task is an instance-level mapping that supports information fusion in P2P data integration systems and can be re-used for other match tasks. MOMA utilizes further semantic mappings of different cardinalities and provides merge and compose operators for mapping combination. We propose and evaluate several strategies for both object matching between different sources as well as for duplicate identification within a single data source.
Andreas Thor, Erhard Rahm
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where CIDR
Authors Andreas Thor, Erhard Rahm
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