Symbolic representations of music are emerging as an important data domain both for the music industry and for computer science research, aiding in the organization of large collections of music and facilitating the development of creative and interactive AI. An aspect of symbolic representations of music, which differentiates them from audio representations, is their suitability to be linked with notions from music theory that have been developed over the centuries. One core such notion is that of functional harmony, which involves analyzing progressions of chords. This paper proposes a description of the theory of functional harmony within the OWL 2 RL profile and experimentally demonstrates its practical use.

音乐的符号表示正在成为音乐产业和计算机科学研究的重要数据领域，有助于组织大量音乐收藏并促进创造性和交互式人工智能的发展。音乐符号表示的一个方面，将它们与音频表示区分开来，是它们适合与几个世纪以来发展起来的音乐理论概念联系起来。这样的一个核心概念是功能和声，它涉及分析和弦的进行。本文提出了对 OWL 2 RL 配置文件中功能和谐理论的描述，并通过实验证明了其实际用途。