What is Linked Jazz?
Linked Jazz aims to map relationships among jazz musicians through semantic web technologies. By analyzing transcripts of oral histories, interviews, and other archival materials, it visualizes the complex network of collaborations, influences, and personal ties in the jazz world. Below is an image from the project showcasing its interactive interface:
Sources (Assets)
- Oral History Transcripts→Interviews and conversations with jazz musicians, drawn from archives like the Hamilton College Jazz Archive, Rutgers Institute for Jazz Studies Archives, and Smithsonian Jazz Oral Histories.
- DBPedia→Used to create a starter list of names of 9300 jazz musicians.
- Archival Materials→Biographies, correspondence, and performance records supplement the interviews.
- Crowdsourced Annotations→The project also integrates user-contributed data for richer, more nuanced relationships.
Processes (Services)
- Natural Language Processing (NLP)→Extracts names and relationships from transcripts, tagging individuals and the types of connections they share (e.g., mentor, collaborator).
- Linked Data Framework→Uses Resource Description Framework (RDF) to structure relationships in a machine-readable format.
- Visualization Tools→Platforms like Gephi and custom-built tools generate the network graphs, making the data interactive and accessible.
These processes underscore the interplay between human interpretation and computational analysis in DH projects!
Presentation (Display)
Linked Jazz’s user interface is both intuitive and engaging. The main feature is an interactive network visualization, where users can click on nodes (musicians) to view their connections, filter by relationship types or data sources, and explore the context of connections through linked transcripts and archival documents. The visual approach invites both jazz enthusiasts and scholars to engage with the material in a dynamic, exploratory way!
Emerging Questions
- What ethical considerations arise when visualizing personal relationships, particularly in cases where individuals might not consent to being mapped?
- Will it be possible to analyze the music of these musicians to further analyze the relationship between these artists and their works?
Class Discussion Questions
What makes this a digital humanities project rather than just a data visualization project?
Linked Jazz goes beyond mere visualization by embedding its work in humanistic inquiry. It not only showcases relationships but also preserves and contextualizes the oral histories and archives that underpin its analysis.
What is the role of interpretation in the project?
Interpretation is central at every stage. Human researchers design the algorithms, curate the sources, and decide how relationships are tagged and visualized. This interplay between computation and interpretation is a hallmark of DH.
Tags: blog post, digital arts and humanities, Reflective Blog Post, week 2
