Key fields in the Humanities such as History and Musicology are central in the major transformation carried by the Digital Humanities (DH). A fundamental question in DH is how humanities datasets can be represented digitally, in such a way machines can process them, understand their meaning, facilitate their inquiry, and exchange them on the Web. In this talk, I will motivate that humanities scholars and computer scientists interact further, by surveying our current work using Semantic Web technology to represent DH objects in Quantitative History and Symbolic Music. Importantly, I will also argue that the technical knowledge gap between the Semantic Web community and many of its application domains, DH among them, is currently too wide, and thus these domains face issues on accessing and consuming semantically-enabled humanities data. To address these, I will demo our current work on automatic Linked Data API construction (heavily inspired by work done at KMi), historical statistics preprocessing and publishing, and music linkage on the Web.