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Critical Semantic Properties of Music Notation Datasets

Markus Lepper, Baltasar Trancón y Widemann

Abstract

The semantics of notation systems can naturally be meta-modelled as a network of transformations, starting with the syntactic elements of the notation and ending with the parameters of an execution. In this context, a digital encoding format for music notation can be seen as selecting a subset of the data nodes of this network for storage, leaving others to evaluation. For such a selection, semantic properties are defined which have impact on the practical costs of maintenance, migration, extension, etc.

Critical Semantic Properties of Music Notation Datasets

Abstract

The semantics of notation systems can naturally be meta-modelled as a network of transformations, starting with the syntactic elements of the notation and ending with the parameters of an execution. In this context, a digital encoding format for music notation can be seen as selecting a subset of the data nodes of this network for storage, leaving others to evaluation. For such a selection, semantic properties are defined which have impact on the practical costs of maintenance, migration, extension, etc.

Paper Structure

This paper contains 1 figure, 1 table.

Figures (1)

  • Figure 1: Example interpretation network for pitch information. The gray underlay indicates a data set as found in practice.