LED: curated and crowdsourced Linked Data on Music Listening Experiences

On 21 October 2014, Alessandro Adamou gave a LED demo at the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy. This has been published in the conference proceedings at http://ceur-ws.org/Vol-1272/paper_74.pdf as A. Adamou, M. D’Aquin, H. Barlow, S. Brown, (2014), ‘LED: curated and crowdsourced Linked Data on Music Listening Experiences’.

Abstract. We present the Listening Experience Database (LED), a structured knowledge base of accounts of listening to music in docu- mented sources. LED aggregates scholarly and crowdsourced contribu- tions 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 inte- grated with the data lifecycle since the entry phase, and several content management functionalities are implemented using semantic technolo- gies. Imported data are enhanced through curation and specialisation with degrees of granularity not provided by the original datasets.

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