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LED: curated and crowdsourced linked data on music listening experiences

Adamou, Alessandro; d'Aquin, Mathieu; Barlow, Helen and Brown, Simon (2014). LED: curated and crowdsourced linked data on music listening experiences. In: Proceedings of the ISWC 2014 Posters & Demonstrations Track, CEUR Workshop Proceedings,, pp. 93–96.

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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.

Item Type: Conference or Workshop Item
Copyright Holders: 2014 The Authors
Project Funding Details:
Funded Project NameProject IDFunding Body
Listening Experience DatabaseNot SetAHRC
Keywords: linked data; crowdsourcing; digital humanities; data workflow
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Arts and Social Sciences (FASS) > Arts and Cultures
Faculty of Arts and Social Sciences (FASS)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 42045
Depositing User: Alessandro Adamou
Date Deposited: 09 Feb 2015 10:27
Last Modified: 05 Oct 2016 12:27
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These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

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