Abstract
Linked open data is poised to fundamentally change metadata design and development and specifically has important implications for controlled vocabularies. In particular, Person/Agent vocabularies are key to linking data, but present complex issues in verification and maintenance. For linked open data to be more widely adopted, practical approaches to data management and transitioning from metadata to triples needs to be explored in detail. This paper presents a case study of controlled vocabulary cleanup with practical advice on managing the cost of data cleanup while leveraging the value added and benefits gained through the process.
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