Jeff Mixter

@datamodelers
active 4 years, 4 months ago

Base

Name

Jeff Mixter

Website

purl.org/jmixter/thesis/

Twitter handle

https://twitter.com//

Short Bio

Jeff Mixter has been a graduate student of Kent State University. He is going to graduate in Summer of 2013 with a M.L.I.S. degree and a M.S. degree in knowledge management. In his thesis “Linked Data in VRA Core 4.0: Converting VRA XML Records into RDF/XML” he developed an ontology and XSLT stylesheet that transformed VRA Core 4.0 XML data into RDF/XML, using schema.org and other widely-used namespaces. Jeff has provided the ontology and XSLT stylesheets as open sources. Being tested with real data, his approach and tools are implementable by the LAM communities. Jeff has been an research assistant at OCLC Research, working on the FAST vocabulary project, since 2012. He is the Chair Elect of CO-ASIS&T.

Interest in LODLAM

I am very interested in helping libraries, archives and museums develop linked data data models that can help them not only use Linked Data to create end-user tools but also use Linked Data internally for organizational management.

Sector

Library, Museum, Research

Linked Open Data Projects

This project attempted to bridge the gap between the founding principles of Linked Data and published RDF datasets. In doing so, it is hoped that Linked data can be more effectively used and implemented by Galleries, Libraries, Archives and Museums. The focus of this study was developing a Linked Data data model that incorporates popular domain specific vocabularies (primarily Schema.org and FOAF). The VRA 4 restricted XML schema was converted into a new Linked Data data model using Protégé, then an XSLT stylesheet was used to convert an existing VRA 4 dataset into RDF. The detailed description of the study as well as the tools developed (including the Ontology and the XSLT stylesheet) can be downloaded from http://purl.org/jmixter/thesis

Bio

Jeff Mixter is a recent graduate of Kent State University. He holds an M.L.I.S. degree and a M.S. degree in knowledge management. In his thesis “Linked Data in VRA Core 4.0: Converting VRA XML Records into RDF/XML” he developed an ontology and XSLT stylesheet that transformed VRA Core 4.0 XML data into RDF/XML, using schema.org and other widely-used namespaces. He has been an assistant researcher at OCLC, working on the FAST vocabulary project, since 2012. He is the Chair Elect of CO-ASIST.

Affiliation

Kent State