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Linked Data in VRA Core 4.0: Converting VRA XML Records into RDF/XML
Mixter, Jeffrey

2013, MLIS, Kent State University, College of Communication and Information / School of Library and Information Science.
Linked Data has become an increasingly important and valuable way for sharing data across the Internet. It is the basis for the Semantic Web and allows organizations to not only easily share data, but also connect data with other related data. Visual Resource Association (VRA) Core 4 is an XML schema-based data model for cataloging cultural objects and visual resources. Using the existing VRA Core 4 restricted XML schema, a new data model was developed that took advantage of popular domain specific vocabularies. Using popular vocabularies such as Schema.org, helps ensure that data will be interoperable with other data and can potentially help improve visibility on the Internet. Using the data model as a reference, an ontology was developed using Protege ontology editor. It illustrated how popular domain specific vocabularies can be combined with the existing VRA data model to create a new semantically-rich model that still retains the specificity and detail of the original XML restricted schema. In addition to developing a new VRA data model, an XSLT stylesheet was created that demonstrated how existing XML based records could be converted into RDF data. The stylesheet was used to successfully convert a 4,150 record collection from the University of Notre Dame into RDF triples. The XSLT templates used in the stylesheet were able to not only convert the existing XML elements/attributes into RDF classes/properties but also convert the existing controlled vocabulary terms into functioning http URIs representing concepts. The study successfully demonstrated that existing data models can be enhanced to incorporate Linked Data and that existing datasets of implementation-specific XML records can be converted into RDF triples with properties defined by popular RDF vocabularies using an XSLT stylesheet.
Marcia Zeng, Ph.D. (Advisor)
Yin Zhang, Ph.D. (Committee Member)
Athena Salaba, Ph.D. (Committee Member)
90 p.

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Mixter, J. (2013). Linked Data in VRA Core 4.0: Converting VRA XML Records into RDF/XML . (Electronic Thesis or Dissertation). Retrieved from https://etd.ohiolink.edu/

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Mixter, Jeffrey. "Linked Data in VRA Core 4.0: Converting VRA XML Records into RDF/XML ." Electronic Thesis or Dissertation. Kent State University, 2013. OhioLINK Electronic Theses and Dissertations Center. 21 Sep 2017.

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Mixter, Jeffrey "Linked Data in VRA Core 4.0: Converting VRA XML Records into RDF/XML ." Electronic Thesis or Dissertation. Kent State University, 2013. https://etd.ohiolink.edu/

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