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Knowledge Extraction from Audio Content Service Providers’ API Descriptions

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Book cover Metadata and Semantics Research (MTSR 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 672))

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Abstract

Creating an ecosystem that will tie together the content, technologies and tools in the field of digital music and audio is possible if all the entities of the ecosystem share the same vocabulary and high quality metadata. Creation of such metadata will allow the creative industries to retrieve and reuse the content of Creative Commons audio in innovative new ways. In this paper we present a highly automated method capable of exploiting already existing API (Application Programming Interface) descriptions about audio content and turning it into a knowledge base that can be used as a building block for ontologies describing audio related entities and services.

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Notes

  1. 1.

    Deliverable D2.1: Requirements Report and Use Cases: http://www.audiocommons.org/materials/.

  2. 2.

    Audio Commons Project - http://www.audiocommons.org/.

  3. 3.

    The Audio Commons Ecosystem (ACE) referred to as ACE in the rest of the paper.

  4. 4.

    Jamendo - https://developer.jamendo.com/v3.0.

  5. 5.

    Freesound - https://www.freesound.org/help/developers/.

  6. 6.

    Europeana - http://www.europeana.eu/portal/.

  7. 7.

    Europeana profile for sound - http://pro.europeana.eu/get-involved/europeana-tech/europeanatech-task-forces/edm-profile-for-sound.

  8. 8.

    Provenance ontology - https://www.w3.org/TR/prov-o/.

  9. 9.

    Media Value Chain ontology: http://dmag.ac.upc.edu/ontologies/mvco/

    .

  10. 10.

    Unified Vverb Index - http://verbs.colorado.edu/verb-index/.

  11. 11.

    Graph database - https://neo4j.com/.

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Author information

Authors and Affiliations

  1. Queen Mary University of London, London, UK

    Damir Juric & György Fazekas

Authors
  1. Damir Juric
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  2. György Fazekas
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Corresponding author

Correspondence to Damir Juric .

Editor information

Editors and Affiliations

  1. Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Alexander Technological Educational Inst , Rome, Italy

    Imma Subirats Coll

  3. Sapienza University of Rome , Rome, Italy

    Armando Stellato

  4. Drexel University, Philadelphia, Pennsylvania, USA

    Jane Greenberg

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Juric, D., Fazekas, G. (2016). Knowledge Extraction from Audio Content Service Providers’ API Descriptions. In: Garoufallou, E., Subirats Coll, I., Stellato, A., Greenberg, J. (eds) Metadata and Semantics Research. MTSR 2016. Communications in Computer and Information Science, vol 672. Springer, Cham. https://doi.org/10.1007/978-3-319-49157-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-49157-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49156-1

  • Online ISBN: 978-3-319-49157-8

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