The authors show that they have chosen and organized symbols depending on instrumental needs within common music notations. The new kind of representation they propose makes up a conceptual music framework with as many different levels of abstraction as the musician needs. It allows them to explicitly describe and process what they call music objects (both traditional and nontraditional music objects), by which they mean anything that could have a musical meaning and can be thought of as an entity with a name and some relationship with other music objects. They describe a tool called Scoresynth, which uses Petri nets to describe, process, and synthesize music scores. They examine Scoresynth's features and explain how it works.

In this article, we describe the MX-Onto ontology for providing a Semantic Web compatible representation of music resources based on their context. The context representation is realized by means of an OWL ontology that describes music information and that defines rules and classes for a flexible genre classification. By flexible classification we mean that the proposed approach enables capturing the subjective interpretation of music genres by defining multiple membership relations between a music resource and the corresponding music genres, thus supporting context-based and proximity-based search of music resources.

IEEE Std 1599 allows interaction with music content such as notes and sounds in video applications and in any interactive device.