The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, Kobe, Japan, October 17-21, 2016, Proceedings, Part II
The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, Kobe, Japan, October 17-21, 2016, Proceedings, Part II
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语义网 - ISWC 2016 - 第 15 届国际语义网会议，日本神户，2016 年 10 月 17-21 日，会议记录，第二部分
DOI：
10.1007/978-3-319-46547-0_1
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Allik A
中科院分区：
文献类型：
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作者：
Allik A
音乐信息学中的特征提取算法旨在直接从音频信号中提取统计和语义信息。这些可能是从几个频带的能量到音乐信息，如基调，和弦或节奏。在这个领域中，特征和算法的多样性和复杂性越来越大，应用程序需要一个通用的结构化表示，以促进互操作性，可重复性和机器可解释性。我们提出了一个解决方案，依赖于语义Web技术，旨在服务于双重目的（1）表示音频功能的计算工作流程和（2）提供一个共同的结构特征数据，使开放式关联数据的原则和技术在音乐信息学的使用。音频特征本体是基于对现有工具和音乐信息学文献的分析，这有助于指导本体工程过程。本体提供用于表达音频特征提取域的不同概念化的描述性框架，并且使得能够设计用于表示特征数据的链接数据格式。在本文中，我们讨论了重要的建模决策，并介绍了一个协调的本体库，包括模块化的相互关联的本体，描述了不同的实体和活动参与音乐创作，制作和出版。
Feature extraction algorithms in Music Informatics aim at deriving statistical and semantic information directly from audio signals. These may be ranging from energies in several frequency bands to musical information such as key, chords or rhythm. There is an increasing diversity and complexity of features and algorithms in this domain and applications call for a common structured representation to facilitate interoperability, reproducibility and machine interpretability. We propose a solution relying on Semantic Web technologies that is designed to serve a dual purpose (1) to represent computational workflows of audio features and (2) to provide a common structure for feature data to enable the use of Open Linked Data principles and technologies in Music Informatics. The Audio Feature Ontology is based on the analysis of existing tools and music informatics literature, which was instrumental in guiding the ontology engineering process. The ontology provides a descriptive framework for expressing different conceptualisations of the audio feature extraction domain and enables designing linked data formats for representing feature data. In this paper, we discuss important modelling decisions and introduce a harmonised ontology library consisting of modular interlinked ontologies that describe the different entities and activities involved in music creation, production and publishing.