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Invite colleaguesSemantic data: The challenge of live sport data
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.
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Author's Biography
Jean-Pierre Evain coordinates technical activities concerning metadata, artificial intelligence and new microservice-based production architectures at the European Broadcasting Union (EBU). He represents the EBU in many standards groups and industry forums, including, among others, the Audio Engineering Society, European Telecommunications Standard Institute, International Press Telecommunication Council, Moving Picture Experts Group, Society of Motion Picture & Television Engineers and the World Wide Web Consortium. He is the co-author of several EBU metadata specifications, including the EBUCore and the EBU Class Conceptual Data Model, and actively promotes the use of Semantic Web technologies in broadcasting.
Francesco Piva is a software engineer at the European Broadcasting Union, where he specialises in hardware and embedded devices, with a focus on software development, development operations and embedded devices. He is passionate about back-end development with DevOps and system administration tasks.
Guillaume Rachez is a project leader and expert in semantic technologies at Perfect Memory, where he specialises in media indexing and providing consultancy services for the company’s customers and partners. Having worked on the Perfect Memory platform since its creation, he has played a key role in constructing its main principles. He has also developed a variety of multimedia and semantic software, as well as an automatic video-editing tool. He makes regular appearances at conferences and training sessions, where he shares his expertise in data modelling and information management tools.
Cédric Klein is responsible for professional services at Perfect Memory, where he takes a collaborative approach to bridging the gap between users and technology. He is the author of the DATAtourisme ontology and a contributor to the EBUCore ontology, which is embedded in Perfect Memory’s platform. He shares his expertise on semantic models and interoperability with partners, customers and community members during collaborative events, exhibits and workshops. He enjoys combining advanced technology and cultural intelligence to benefit users.