Linked Jazz Project Director Dr. Cristina Pattuelli presented her talk Linked Open Data for Digital Heritage: Opportunities and Challenges, at the Butler Library at Columbia University. The talk was sponsored by The Columbia Libraries Digital Humanities Center and the Digital Program Division and discussed the principles and methods of linked open data as well as the advantages and challenges of adopting a linked data approach to cultural data.
Author Archives: Bill Levay
Linked Jazz is a finalist for the LODLAM Summit 2013 Challenge!
Linked Jazz has been selected among the three finalists from Heat 1 of the LODLAM Challenge. The finalists earn travel grants to the LODLAM Summit June 19-20, 2013 in Montreal. Our entry video is featured below:
Linked Jazz featured on the SemanticWeb.com Blog
Jennifer Zaino for the SemanticWeb.com Blog interviewed Christina Pattuelli on the process, purpose and future of the Linked Jazz project. The article focuses on the project’s tools with an emphasis on the powerful combination of crowdsourcing and Linked Data to illuminate meaningful connections between jazz musicians.
Updated Crowdsourcing Tool is Released
The latest version of Linked Jazz’s crowdsourcing tool, Linked Jazz 52nd Street, developed by Matthew Miller, has been released with a new design and a new name. The tool has been enhanced with a quick tutorial for first-time users, improved navigation, expandable transcript excerpts, and progress bars. Users can also visualize the connections they are making between jazz musicians in real-time.
Linked Jazz Network Visualization Tool Launches
Linked Jazz’s new visualization tool developed by Matt Miller visualizes the social connections between jazz musicians. Various modes allow the user to view the network in new ways. Fixed mode pins the individuals with the most connections to the outer perimeter. Free mode groups individuals together based on the number of connections they have. Similar mode arranges individuals based on their number of shared connections. Dynamic mode allows users to add individuals themselves and see their shared connections.