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Knowledge Extraction from Audio Content Service Providers’ API Descriptions

  • Damir JuricEmail author
  • György Fazekas
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 672)

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.

Keywords

Metadata Audio content Ontologies Natural language processing Knowledge extraction 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Queen Mary University of LondonLondonUK

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