About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
AI4I 2019
Conference paper
Towards leveraging the music industry with hyperknowledge
Abstract
In this paper, we discuss the use of semantic technologies in the music industry. Specifically, we describe our vision of how the Hyperknowledge model can leverage the development of AI-based applications in this domain. Hyperknowledge is a multimodal-aware knowledge representation framework tailored for hypermedia information. It allows the modeler to describe and link fragments of multimedia content (e.g., audio, video, text, image, etc.) with high-level semantic structures. Hyperknowledge can also complement existing approaches by providing a glue model that can be used to map among distinct, but related, musical and audio material. We discuss the use of Hyperknowledge as a representation framework for music information and some novel applications that this approach can support.