skip to main content
10.1145/3243907.3243912acmotherconferencesArticle/Chapter ViewAbstractPublication PagessaamConference Proceedingsconference-collections
research-article

Music SOFA: An architecture for semantically informed recomposition of Digital Music Objects

Published:09 October 2018Publication History

ABSTRACT

We describe the design and implementation of a semantic music system which illustrates the assembly of a music composition using semantically annotated music fragments. The system, which we call SOFA (SOFA Ontological Fragment Assembler), demonstrates architectural design principles which may have more general applicability in the semantic music domain, notably the adoption of the Linked Data Platform to realise service components of the end-to-end pipeline so that data specialisation takes the place of service specialisation. The prototype builds upon two existing tools developed by the authors: Music Encoding and Linked Data (MELD), which augments and extends MEI structures with semantic Web Annotations capable of addressing musically meaningful score sections, and Numbers Into Notes, an algorithmic composition tool that acts as a 'semantic signal generator' to drive the tool chain. The system demonstrates the concept of Digital Musical Objects (DMOs), and in particular DMO processing and recomposition.

References

  1. Sean Bechhofer, Kevin Page, David M. Weigl, György Fazekas, and Thomas Wilmering. 2017. Linked Data Publication of Live Music Archives and Analyses. In The Semantic Web -- ISWC 2017, Claudia d'Amato, Miriam Fernandez, Valentina Tamma, Freddy Lecue, Philippe Cudré-Mauroux, Juan Sequeda, Christoph Lange, and Jeff Heflin (Eds.). Springer International Publishing, Cham, 29--37.Google ScholarGoogle Scholar
  2. David Bretherton, Daniel Alexander Smith, Joe Lambert, and M. C. Schraefel. 2011. MusicNet: Aligning Musicology's Metadata. In Music Linked Data Workshop. http://eprints.soton.ac.uk/272408/Google ScholarGoogle Scholar
  3. Sarven Capadisli and Amy Guy. 2017. Linked Data Notifications. W3C Recommendation. W3C. https://www.w3.org/TR/ldn/.Google ScholarGoogle Scholar
  4. Paolo Ciccarese, Benjamin Young, and Robert Sanderson. 2017. Web Annotation Data Model. W3C Recommendation. W3C. https://www.w3.org/TR/2017/REC-annotation-model-20170223/.Google ScholarGoogle Scholar
  5. Tim Crawford and Richard Lewis. 2016. Review: Music Encoding Initiative. Journal of the American Musicological Society 69, 1 (Spring 2016), 273--285. arXiv:http://jams.ucpress.edu/content/69/1/273.full.pdfGoogle ScholarGoogle ScholarCross RefCross Ref
  6. Herbert Van de Sompel, Michael Nelson, and Robert Sanderson. 2013. HTTP Framework for Time-Based Access to Resource States -- Memento. Technical Report 7089.Google ScholarGoogle Scholar
  7. Leigh Dodds and Ian Davis. 2012. Linked Data Patterns. Online book. http://patterns.dataincubator.org/book/Google ScholarGoogle Scholar
  8. Roy Thomas Fielding. 2000. Architectural Styles and the Design of Network-based Software Architectures. Ph.D. Dissertation.Google ScholarGoogle Scholar
  9. Ben Fields, Kevin Page, David De Roure, and Tim Crawford. 2011. The segment ontology: Bridging music-generic and domain-specific. In Multimedia and Expo (ICME), 2011 IEEE International Conference on. IEEE, 1--6. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Martin Gasser, Andreas Arzt, Thassilo Gadermaier, Maarten Grachten, and Gerhard Widmer. 2015. Classical Music on the Web-User Interfaces and Data Representations. In Proc. 16th International Society for Music Information Retrieval Conference.Google ScholarGoogle Scholar
  11. Maria Kallionpää, Chris Greenhalgh, Adrian Hazzard, David M Weigl, Kevin R Page, and Steve Benford. 2017. Composing and realising a game-like performance for disklavier and electronics. In New Interfaces for Musical Expression (NIME 2017) Proceedings.Google ScholarGoogle Scholar
  12. Graham Klyne, Cerys Willoughby, and Kevin Page. 2016. Annalist: A practical tool for creating, managing and sharing evolving linked data. Proceedings of the Workshop on Linked Data on the Web (LDOW). http://ceur-ws.org/Vol-1593/#article-10Google ScholarGoogle Scholar
  13. Clifford Lynch. 2002. Digital Collections, Digital Libraries and the Digitization of Cultural Heritage Information. First Monday 7, 5 (2002).Google ScholarGoogle Scholar
  14. Essam Mansour, Andrei Vlad Sambra, Sandro Hawke, Maged Zereba, Sarven Capadisli, Abdurrahman Ghanem, Ashraf Aboulnaga, and Tim Berners-Lee. 2016. A Demonstration of the Solid Platform for Social Web Applications. In Proceedings of the 25th International Conference Companion on World Wide Web (WWW '16 Companion). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 223--226. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Luigi Federico Menabrea and Ada Augusta Countess of Lovelace. 1843. Sketch of the Analytical Engine invented by Charles Babbage, Esq. In Scientific Memoirs, Selected from the Transactions of Foreign Academies of Science and Learned Societies, and from Foreign Journals (vol. 3), Richard Taylor (Ed.). Richard and John E. Taylor, London, UK, 666--731.Google ScholarGoogle Scholar
  16. Open Archives Initiative. 2008. ORE Specification --- Abstract Data Model. Technical Report. http://www.openarchives.org/ore/1.0/datamodelGoogle ScholarGoogle Scholar
  17. Kevin Page, David Lewis, and David Weigl. 2017. Contextual interpretation of digital music notation. Digital Humanities (DH2017), Montréal, Canada (2017).Google ScholarGoogle Scholar
  18. Kevin R Page, Sean Bechhofer, Gyorgy Fazekas, David M Weigl, and Thomas Wilmering. 2017. Realising a layered digital library: exploration and analysis of the live music archive through linked data. In Digital Libraries (JCDL), 2017 ACM/IEEE Joint Conference on. IEEE, 1--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Laurent Pugin, Rodolfo Zitellini, and Perry Roland. 2014. Verovio: A library for Engraving MEI Music Notation into SVG. In Proc. 15th International Society for Music Information Retrieval Conference. 107--112.Google ScholarGoogle Scholar
  20. Fazilatur Rahman and Jawed Siddiqi. 2012. Semantic annotation of digital music. J. Comput. System Sci. 78, 4 (2012), 1219--1231. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Yves Raimond, Samer A Abdallah, Mark B Sandler, and Frederick Giasson. 2007. The Music Ontology. In Proc. 8th International Conference on Music Information Retrieval. 417--422.Google ScholarGoogle Scholar
  22. D. De Roure and P. Willcox. 2017. Experimental Humanities: An Adventure with Lovelace and Babbage. In 13th International Conference on e-Science. IEEE, 194--201.Google ScholarGoogle Scholar
  23. Steve Speicher, John Arwe, and Ashok Malhotra. 2015. Linked Data Platform 1.0. W3C Recommendation. W3C. http://www.w3.org/TR/2015/REC-ldp-20150226/.Google ScholarGoogle Scholar
  24. David M Weigl, David Lewis, Tim Crawford, Ian Knopke, and Kevin R Page. 2017. On providing semantic alignment and unified access to music library metadata. International Journal on Digital Libraries (2017), 1--23.Google ScholarGoogle Scholar
  25. David M Weigl and Kevin R Page. 2017. A Framework for Distributed Semantic Annotation of Musical Score: "Take It to the Bridge!". In Proceedings of the 17th International Society for Music Information Retrieval Conference.Google ScholarGoogle Scholar
  26. Megan A Winget. 2008. Annotations on musical scores by performing musicians: Collaborative models, interactive methods, and music digital library tool development. Journal of the Association for Information Science and Technology 59, 12 (2008), 1878--1897. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Music SOFA: An architecture for semantically informed recomposition of Digital Music Objects

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        SAAM '18: Proceedings of the 1st International Workshop on Semantic Applications for Audio and Music
        October 2018
        63 pages
        ISBN:9781450364959
        DOI:10.1145/3243907

        Copyright © 2018 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 9 October 2018

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research
        • Refereed limited

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader