Functional harmony ontology: Musical harmony analysis with Description Logics

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Spyridon Kantarelis, Edmund Dervakos, Natalia Kotsani, Giorgos Stamou
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引用次数: 2

Abstract

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.

功能和谐本体论:用描述逻辑分析音乐和谐
音乐的符号表示正在成为音乐产业和计算机科学研究的一个重要数据领域,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,它们是否适合与几个世纪以来发展起来的音乐理论中的概念联系在一起。其中一个核心概念是功能和声,它涉及到分析和弦的进行。本文提出了OWL2 RL轮廓内的函数和谐理论的描述,并通过实验证明了其实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Web Semantics
Journal of Web Semantics 工程技术-计算机:人工智能
CiteScore
6.20
自引率
12.00%
发文量
22
审稿时长
14.6 weeks
期刊介绍: The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.
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