Overview of pyMusicMeta

To facilitate the reuse of Music Meta and its data conversion into OWL/RDF Knowledge Graph, we developed a library to map arbitrary music metadata into RDF triples. This enables a practical and scalable workflow for data lifting to create Music Knowledge Graphs without expert knowledge of our ontological model. The library is developed in Python as an extension of RDF-Lib.

The Music Meta library allows for the creation of RDF triples from textual data, offering the advantage of easy data generation using our model. The library provides a range of simple methods for adding triples to a graph, using clear, concise documentation and straightforward naming conventions. With each triple added, the library automatically adds alignments to other schema that Music Meta supports, thus bringing interoperability with ontologies.