- From: Albert Meroño Peñuela <albert.meronyo@gmail.com>
- Date: Thu, 4 Aug 2022 10:37:58 +0100
- To: SW-forum <semantic-web@w3.org>, community@ismir.net, "Artificial Intelligence and Music (AIM)" <ai-music@googlegroups.com>, DIGITALMUSICOLOGY@jiscmail.ac.uk, eadh-topics@lists.digitalhumanities.org
- Message-ID: <CAL=mkuzTra1pF2yqYpyL-8GA8naqzca2L0YC3BXf5ycnDSHM6Q@mail.gmail.com>
Workshop on Musical Heritage Knowledge Graphs The 22nd International Semantic Web Conference 2022 (virtual) 23-27 October 2022, Hangzhou, China https://mhkg-workshop.i3s.univ-cotedazur.fr/ Music is a key component of our cultural heritage as well as a driver for the creative industry. As such it is studied from a social science and humanities perspective as well as from a computer science one. Recently, knowledge graphs have shown the potential to become an enabling technology for the hybridisation and collaboration between these two research worlds. They can be used for feeding AI applications to support musicologists, musicians, producers, etc. in tasks such as music management, analysis, composition, and generation. And they are key for developing a new generation of music information retrieval applications, based on interlinked knowledge as opposed to isolated collections. Current music data available on the web and in institutional collections is served in heterogeneous and incompatible formats that cannot be easily integrated. Music streaming providers are investing in AI research to develop services and functions that rely on semantic analysis of music content. Similarly, cultural and memory institutions and music collection owners are looking more and more at LOD-based solutions to improve data integration strategies and automatic analysis of their content towards better procedures for preservation, management, and enhancement of musical heritage. The Semantic Web community can respond to this call by putting into action focused research on this domain. This workshop intends to bring together an interdisciplinary audience of researchers and practitioners, including digital artists, to present their most recent use cases and results on methods, tools and applications for building, analyzing, exploiting, and interacting with musical heritage knowledge graphs. We welcome submissions in the following tracks: Papers (research track): Submit a 6-10 page paper. Demos: Submit a work to be presented at a hands-on demo session. Demo submissions should consist of a max 2-page extended abstract including diagrams or images, and a complete list of technical requirements (including anything expected to be provided by the conference organizers). Paper submission system: EasyChair - submission link: https://easychair.org/my/conference?conf=mhkg2022 Topics of interest (include but are not limited to the following): Methods and tools for knowledge extraction from audio and symbolic music notations. Methods and tools for large scale music data analysis Methods and tools for knowledge extraction of musical heritage knowledge from text (including lyrics analysis). Methods and tools for interaction with musical knowledge graphs. Findability and semantic exploration of musical heritage knowledge. Semantic interoperability between music symbolic representations. Formal representation of music notations Use cases and open challenges in music knowledge graphs. Knowledge graphs for supporting the music creation process. Musical heritage knowledge graphs and ontologies for music-AI tasks AI methods for building musical heritage knowledge graphs and ontologies Important Dates August 23rd, 2022 : Submissions deadline for Papers and Demos. September 15th, 2022: Notification of acceptances and rejections for Papers and Demos. September 25th, 2022: Camera ready submission October 23rd or 24th (TBA), 2022: Workshop dayorkshop Organizers: Valentina Presutti (University of Bologna) Michel Buffa (University Côte d’Azur) Luc Steels (Barcelona Supercomputing Center) Jean-François Trubert (University Côte d'Azur) Enrico Daga (Open University) Albert Meroño (King’s College London)
Received on Thursday, 4 August 2022 09:38:29 UTC