Abstract
The Music Encoding Initiative (MEI) XML schema expresses musical structure addressing score elements at musically meaningful levels of granularity (e.g., individual systems, measures, or notes). While this provides a comprehensive representation of music content, only concepts and relationships provided by the MEI schema can be encoded. Here, we present our Music Encoding and Linked Data (MELD) framework which applies RDF Web Annotations to targetted portions of the MEI structure. Concepts and relationships from the Semantic Web can be included alongside MEI in an expanded musical knowledge graph. We have implemented a music performance scenario which collects, distributes, and displays semantic annotations, enhancing a digital musical score used by performers in a live music jam session.
Cite
CITATION STYLE
Weigl, D. M., & Page, K. R. (2017). Dynamic Semantic Music Notation: Using Linked Data to Enhance Music Performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10577 LNCS, pp. 31–34). Springer Verlag. https://doi.org/10.1007/978-3-319-70407-4_7
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