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LinkedDateInVRACore4.pdf (692.07 KB)

ETD Abstract Container

Abstract Header

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

Mixter, Jeffrey
http://rave.ohiolink.edu/etdc/view?acc_num=kent1366642050

Abstract Details

2013, MLIS, Kent State University, College of Communication and Information / School of Information.
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.
Information Science; Library Science
Linked Data; RDF; VRA; visual resource cataloging; data conversion; data modeling; Ontology; XSLT stylesheet;

Recommended Citations

Citations

  • Mixter, J. (2013). Linked Data in VRA Core 4.0: Converting VRA XML Records into RDF/XML [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1366642050

    APA Style (7th edition)

  • Mixter, Jeffrey. Linked Data in VRA Core 4.0: Converting VRA XML Records into RDF/XML . 2013. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1366642050.

    MLA Style (8th edition)

  • Mixter, Jeffrey. "Linked Data in VRA Core 4.0: Converting VRA XML Records into RDF/XML ." Master's thesis, Kent State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1366642050

    Chicago Manual of Style (17th edition)

kent1366642050
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© 2013, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.