LED: curated and crowdsourced linked data on music listening experiences

摘要

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