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Vocabulary Term Mapping

Namrata Lele
Namrata Lele
Project Description: 

My project consisted of implementing a tool that helps with mapping semantically similar terms between metadata vocabularies, which is important when integrating or linking data sets annotated by different and typically incompatible metadata standards. The tool I created takes two sets of terms and their descriptions as input, and returns a ranked list of matching candidate terms from the two sets. For implementation, I took advantage of the Lucene indexing system, and the General Text Matcher libraries, and I wrote parsers for different metadata standards, including Dublin Core, Darwin Core, and the Ecological Metadata Language.

Primary Mentor: 
Dave Vieglais
Secondary Mentor: 
Bruce Wilson