Personal Name Vocabularies as Linked Open Data

نویسنده

  • M. Cristina Pattuelli
چکیده

This paper describes the process of constructing a vocabulary of personal names of jazz artists in the form of Linked Open Data (LOD). Created as a name directory to support the development of the Linked Jazz project, it provides a case study that demonstrates the value and the challenges of developing a domain-specific vocabulary tool that draws upon the semantics of DBpedia, a major LOD dataset. The paper also addresses possible strategies for enhancing the directory to make it a more robust personal name vocabulary.

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تاریخ انتشار 2012