In Collaboration with In Concert
Terhi Nurmikko-Fuller, Alan John Dix, David M. Weigl, Kevin Page · 2016
Diverse datasets in the area of Digital Musicology expose complementary information describing works, composers, performers, and wider historical and cultural contexts. Interlinking across such datasets enables new digital methods of scholarly investigation. Such bridging presents challenges when working with legacy tabular or relational datasets that do not natively facilitate linking and referencing to and from external sources. Here, we present pragmatic approaches in turning such legacy datasets into linked data.