A Distributed Metadata Platform for Hybrid Radio Services
Autor: | Markus Friedrich, Alexander Erk, Liza Obermeier, Carsten Hahn, Andre Ebert, Iris Jennes, Georg Schneider |
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Přispěvatelé: | Erfurth, Christian, Lüke, Karl-Heinz, Eichler, Gerald, Fahrnberger, Günter, Studies in Media, Innovation and Technology, Communication Sciences |
Rok vydání: | 2019 |
Předmět: |
Distributed databases
Distributed database Multimedia Computer science business.industry 05 social sciences Interoperability Umbrella term interoperability Scenario 02 engineering and technology Recommender system computer.software_genre Data modeling data models Metadata Hybrid radio 0502 economics and business 0202 electrical engineering electronic engineering information engineering 050211 marketing 020201 artificial intelligence & image processing business Radio broadcasting computer Multimedia services |
Zdroj: | Innovations for Community Services-19th International Conference, I4CS 2019, Wolfsburg, Germany, June 24-26, 2019, Proceedings Communications in Computer and Information Science Communications in Computer and Information Science-Innovations for Community Services Innovations for Community Services ISBN: 9783030224813 I4CS |
ISSN: | 1865-0929 1865-0937 |
DOI: | 10.1007/978-3-030-22482-0_13 |
Popis: | 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. |
Databáze: | OpenAIRE |
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