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Semantic data: The challenge of live sport data

Author

Listed:
  • Evain, Jean-Pierre
  • Piva, Francesco
  • Rachez, Guillaume
  • Klein, Cédric

Abstract

In the world of sport, the role of data is absolutely central. During any competition event, continuous data feeds provide information on athletes, teams, start lists, schedules and live results — information that must be handled seamlessly and in real time. During the 2018 European Championships, the European Broadcasting Union (EBU) applied semantic modelling to sport data, using a platform with a back-end capable of handling thousands of live data messages in real time. Official data from the event organisers was provided in the Olympic Data Feed format and transformed live to the EBUSport semantic format, before being fed to Perfect Memory’s smart media asset management system, connecting results, athlete bios and events to content edited from feeds and logging. The use of semantic technologies makes it possible to navigate linked data in innovative front-end applications. This paper provides a detailed review of the technical challenges faced when managing a semantic data driven ecosystem, and discusses the lessons learned.

Suggested Citation

  • Evain, Jean-Pierre & Piva, Francesco & Rachez, Guillaume & Klein, Cédric, 2019. "Semantic data: The challenge of live sport data," Journal of Digital Media Management, Henry Stewart Publications, vol. 7(3), pages 256-267, March.
    • Handle: RePEc:aza:jdmm00:y:2019:v:7:i:3:p:256-267
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    More about this item

    Keywords

    semantic; metadata; sport; live; operational;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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