Data from: What do we mean with sound semantics, exactly? A survey of taxonomies and ontologies of everyday sounds

Data from: What do we mean with sound semantics, exactly? A survey of taxonomies and ontologies of everyday sounds (2022, Frontiers in Psychology) <br> Bruno L. Giordano1,*§, Ricardo de Miranda Azevedo2,*, Yenisel Plasencia-Calaña3, Elia Formisano3,4,¶, Michel Dumontier2,3,¶ <br> 1 Institut des Neurosciences de La Timone, CNRS UMR 7289 – Université Aix-Marseille, Marseille, France; <br> 2 Institute of Data Science, Faculty of Science and Engineering, Maastricht University, Maastricht, The Netherlands <br> 3 BISS institute, Faculty of Science and Engineering, Maastricht University, Maastricht, The Netherlands <br> 4 Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands <br> * co-first author ¶ co-senior author § correspondence: [e-mail] <br> Abstract:<br> Taxonomies and ontologies for the characterization of everyday sounds have been developed in several research fields, including auditory cognition, soundscape research, artificial hearing, sound design, and medicine. Here, we surveyed thirty-six of such knowledge organization systems, which we identified through a systematic literature search. To evaluate the semantic domains covered by these systems within a homogeneous framework, we introduced a comprehensive set of verbal sound descriptors (sound source properties; attributes of sensation; sound signal descriptors; onomatopoeias; music genres), which we used to manually label the surveyed descriptor classes. We reveal that most taxonomies and ontologies were developed to characterize higher-level semantic relations between sound sources in terms of the sound-generating objects and actions involved (what/how), or in terms of the environmental context (where). This indicates the current lack of a comprehensive ontology of everyday sounds that covers simultaneously all semantic aspects of the relation between sounds. Such an ontology may have a wide range of applications and purposes, ranging from extending our scientific knowledge of auditory processes in the real world, to developing artificial hearing systems. <br> Usage: We include data for 36 taxonomies/ontologies of natural sounds (xlsx file). An owl implementation for each of the taxonomies/ontologies is also provided (zip file).

数据来源：《我们究竟该如何准确定义声音语义？日常声音分类法与本体论研究综述》（2022年，《Frontiers in Psychology》）<br>布鲁诺·L·焦尔达诺1,*§, 里卡多·德·米兰达·阿泽维多2,*, 耶尼塞尔·普拉森西亚-卡拉尼亚3, 埃利亚·福尔米萨诺3,4,¶, 米歇尔·迪蒙捷2,3,¶<br>1. 法国马赛艾克斯-马赛大学（Université Aix-Marseille），法国国家科学研究中心（CNRS）UMR 7289拉蒂莫内神经科学研究所；<br>2. 荷兰马斯特里赫特大学科学与工程学院数据科学研究所；<br>3. 荷兰马斯特里赫特大学科学与工程学院BISS研究所；<br>4. 荷兰马斯特里赫特大学心理学与神经科学学院认知神经科学系；<br>* 共同第一作者，¶ 共同通讯作者，§ 通讯邮箱：[e-mail]<br>摘要：<br>日常声音表征用分类法（taxonomies）与本体论（ontologies）已在多个研究领域得到发展，涵盖听觉认知、声景研究、人工听觉、声音设计以及医学等方向。本文通过系统文献检索共识别出36类此类知识组织体系，并对其展开综述。为在统一框架内评估这些体系所覆盖的语义域，我们构建了一套完整的口头声音描述词集，涵盖声源属性、感知属性、声音信号描述词、拟声词以及音乐流派，并以此手动标注所综述的描述词类别。研究发现，现有多数分类法与本体论均围绕声源生成所涉及的物体与行为（即“是什么/如何发生”），或环境背景（即“发生于何处”）来刻画声源间的高阶语义关系。这表明当前仍缺乏一套能够同时覆盖声音关联所有语义维度的完整日常声音本体论。此类本体论具备广泛的应用场景与研究价值，既可用于拓展我们对现实世界听觉过程的科学认知，也可用于开发人工听觉系统。<br>使用说明：<br>本文提供了36类自然声音分类法/本体论的相关数据（XLSX格式文件），同时还附带了各分类法/本体论的OWL（Web Ontology Language）实现文件（ZIP压缩包）。