Crafting Linked Open Data for Cultural Heritage: Mapping and Curation Tools for the Linked Jazz Project

I’m proud to announce that the Linked Jazz Project has had a paper published in the Code4Lib Journal! Working as a part of the Linked Jazz Project Team with my peers at Pratt SILS as well as dedicated alumni and our fearless project leader Dr. Cristina Pattuelli has been a major highlight of my time in library school so far. I’ve enjoyed being able to research emerging technologies and trends as well as expand my knowledge of jazz music and the jazz community.

Below is the abstract for the paper, and please follow the link to read the paper in its entirety:

Crafting Linked Open Data for Cultural Heritage: Mapping and Curation Tools for the Linked Jazz Project

This paper describes tools and methods developed as part of Linked Jazz, a project that uses Linked Open Data (LOD) to reveal personal and professional relationships among jazz musicians based on interviews from jazz archives. The overarching aim of Linked Jazz is to explore the possibilities offered by LOD to enhance the visibility of cultural heritage materials and enrich the semantics that describe them. While the full Linked Jazz dataset is still under development, this paper presents two applications that have laid the foundation for the creation of this dataset: the Mapping and Curator Tool, and the Transcript Analyzer. These applications have served primarily for data preparation, analysis, and curation and are representative of the types of tools and methods needed to craft linked data from digital content available on the web. This paper discusses these two domain-agnostic tools developed to create LOD from digital textual documents and offers insight into the process behind the creation of LOD in general.

By M. Cristina Pattuelli, Matt Miller, Leanora Lange, Sean Fitzell, and Carolyn Li-Madeo

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