LED: curated and crowdsourced linked data on music listening experiences

作者: Mathieu D'Aquin , Helen Barlow , Alessandro Adamou , Simon Brown

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摘要: We present the Listening Experience Database (LED), a structured knowledge base of accounts listening to music in documented sources. LED aggregates scholarly and crowdsourced contributions is heavily focused on data reuse. To that end, both storage system governance model are natively implemented as Linked Data. Reuse from datasets such BNB DBpedia integrated with lifecycle since entry phase, several content management functionalities using semantic technologies. Imported enhanced through curation specialisation degrees granularity not provided by original datasets.

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