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Identifying Corresponding Records Across Multiple Data Formats

Randy Kuehn,Calvin Miracle-2011-05-01
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TL;DRAbstract

Managing multiple information systems that reference like items with differing data formats can be an arduous task. The complexity is compounded when attempting to make corrections to records on a large scale when data varies and unique identifiers do not exist. It is here where fuzzy logic can be an effective solution. This session will outline a multifaceted fuzzy string matching method used to analyze MARC records from Voyager and their metadata counterparts from CONTENTdm in order to correct mismatched data.

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Managing multiple information systems that reference like items with differing data formats can be an arduous task. The complexity is compounded when attempting to make corrections to records on a large scale when data varies and unique identifiers do not exist. It is here where fuzzy logic can be an effective solution. This session will outline a multifaceted fuzzy string matching method used to analyze MARC records from Voyager and their metadata counterparts from CONTENTdm in order to correct mismatched data.

Keywords

Computer scienceMetadataIdentifierTask (project management)Information retrievalFuzzy logicData miningMatching (statistics)

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