Abstract
Hybrid radio is an umbrella term for the combination of classic broadcast radio with online services enabling highly personalized and interactive content. Hybrid services heavily rely on well-maintained metadata but currently, a multitude of different data sources and models exist, each with certain aspects and different levels of quality. We propose a distributed metadata platform which harmonizes relevant metadata from a variety of data sources and makes it comfortably searchable. The distributed and open nature of the platform renders centralized aggregators obsolete and allows even smaller stations to participate in a search network which significantly increases their visibility. The capability of the platform is proven by the implementation and evaluation of a metadata-based radio station recommender system which is one of the most important hybrid radio building blocks. Finally, the platform is evaluated by a qualitative analysis which juxtaposes requirements based on pre-defined user scenarios with its technical features.
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Notes
- 1.
RadioDNS Limited (2019): https://radiodns.org/.
- 2.
Xiph.org (2019): https://icecast.org/.
- 3.
TuneIn Incorporation (2019): https://tunein.com/.
- 4.
Radioplayer Worldwide Limited (2017): http://www.radioplayerworldwide.com.
- 5.
HRADIO Deliverable D2.1: HRADIO User Scenarios, (2018): https://www.hradio.eu/outcome.
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The HRADIO project and thus this work was funded by H2020, the EU Framework Programme for Research and Innovation.
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Friedrich, M. et al. (2019). A Distributed Metadata Platform for Hybrid Radio Services. In: Lüke, KH., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2019. Communications in Computer and Information Science, vol 1041. Springer, Cham. https://doi.org/10.1007/978-3-030-22482-0_13
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