In this paper, we give a quick overview of some key Semantic Web technologies which allow us to overcome the limitations of the current web of documents to create a machine-processable web of data, where information is accessible by automated means. We then detail a framework for dealing with audio-related information on the Semantic Web: the Music Ontology. We describe some examples of how this ontology has been used to link together heterogeneous data sets, dealing with editorial, cultural or acoustic data. Finally, we explain a methodology to embed such knowledge into audio applications (from digital jukeboxes and digital archives to audio editors and sequencers), along with concrete examples and implementations.
(See document for exact affiliation information.)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
