Towards the Discovery of Person-Level Data Reuse of Vocabularies and Related Use Cases

نویسندگان

  • Thomas Bosch
  • Benjamin Zapilko
  • Joachim Wackerow
  • Arofan Gregory
چکیده

The Linked Data and the Social Science data communities developed the DDI-RDF Discovery Vocabulary, an ontology of the Data Documentation Initiative, in order to support the discovery of person-level data and its metadata. The Data Documentation Initiative (DDI) is an acknowledged international standard for the documentation and management of data from the social, behavioral, and economic sciences. Within the context of DDI-RDF Discovery Vocabulary, we reuse well elaborated and accepted vocabularies to a large extend. Vocabularies like DCMI, FOAF, ORG, ADMS, PROV-O, SKOS and XKOS, DCAT, and Data Cube. This paper focuses on the description of how other vocabularies are reused reasonably and on the description of use cases which are associated with the usage of the DDI-RDF Discovery Vocabulary.

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تاریخ انتشار 2016