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Semantic integration of audio content providers through the Audio Commons Ontology
Journal of Web Semantics ( IF 2.5 ) Pub Date : 2023-05-08 , DOI: 10.1016/j.websem.2023.100787
Miguel Ceriani , Fabio Viola , Saša Rudan , Francesco Antoniazzi , Mathieu Barthet , György Fazekas

A broad variety of audio content is available online through an increasing number of repositories and platforms. Resources such as music tracks, recorded sounds or instrument samples may be accessed by users for tasks ranging from customised music listening and exploration, to music making and sound design using existing sounds and samples. However, each online repository offers its own API and represents information through its own data model, making it difficult for applications to exploit the plurality of online audio and music content on the web. A crucial step toward integrating audio repositories in a flexible manner is a shared basis for modelling the data therein. This paper describes and extends the Audio Commons Ontology, a common data model designed to integrate existing repositories in the audio media domain. The ontology is designed with the involvement of users through surveys and requirements analyses, and evaluated in-use, by demonstrating how it supports the integration of four relevant repositories with heterogeneous APIs and data models. While this work proves the concept in the audio domain, our proposed methodology may transfer across a broad range of media integration tasks.



中文翻译:

通过 Audio Commons Ontology 对音频内容提供者进行语义集成

通过越来越多的存储库和平台,可以在线获得种类繁多的音频内容。用户可以访问音乐曲目、录制的声音或乐器样本等资源,以执行从定制的音乐聆听和探索到使用现有声音和样本进行音乐制作和声音设计的任务。然而,每个在线存储库都提供自己的 API 并通过自己的数据模型表示信息,这使得应用程序难以利用 Web 上的大量在线音频和音乐内容。以灵活的方式集成音频存储库的关键一步是为其中的数据建模的共享基础。本文描述并扩展了 Audio Commons Ontology,这是一种通用数据模型,旨在集成音频媒体领域中的现有存储库。本体是在用户参与的情况下通过调查和需求分析设计的,并通过演示它如何支持四个相关存储库与异构 API 和数据模型的集成来评估使用情况。虽然这项工作证明了音频领域的概念,但我们提出的方法可能会转移到广泛的媒体集成任务中。

更新日期:2023-05-10
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