A semantic-based approach for artist similarity

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• dc.contributor.author Oramas, Sergioca
• dc.contributor.author Sordo, Mohamedca
• dc.contributor.author Espinosa-Anke, Luisca
• dc.contributor.author Serra, Xavierca
• dc.date.accessioned 2016-05-12T11:42:37Z
• dc.date.available 2016-05-12T11:42:37Z
• dc.date.issued 2015ca
• dc.description.abstract This paper describes and evaluates a method for computing artist similarity from a set of artist biographies. The/nproposed method aims at leveraging semantic information present in these biographies, and can be divided in three/nmain steps, namely: (1) entity linking, i.e. detecting mentions to named entities in the text and linking them to an/nexternal knowledge base; (2) deriving a knowledge representation from these mentions in the form of a semantic/ngraph or a mapping to a vector-space model; and (3) computing semantic similarity between documents. We/ntest this approach on a corpus of 188 artist biographies and a slightly larger dataset of 2,336 artists, both gathered/nfrom Last.fm. The former is mapped to the MIREX Audio and Music Similarity evaluation dataset, so that its similarity/njudgments can be used as ground truth. For the latter dataset we use the similarity between artists as provided/nby the Last.fm API. Our evaluation results show that an approach that computes similarity over a graph of entitiesand semantic categories clearly outperforms a baseline that exploits word co-occurrences and latent factors.en
• dc.format.mimetype application/pdfca
• dc.identifier.citation Oramas S, Sordo M, Espinosa-Anke L, Serra X. A semantic-based approach for artist similarity. In: Müller M, Wiering F, editors. Proceedings of the 16th International Society for Music Information Retrieval (ISMIR) Conference; 2015 Oct 26 - Oct 30; Malaga, Spain. [S.l.]: International Society for Music Information Retrieval; 2015. p.100-6.ca
• dc.identifier.uri http://hdl.handle.net/10230/26278
• dc.language.iso engca
• dc.publisher International Society for Music Information Retrieval (ISMIR)ca
• dc.relation.ispartof Müller M, Wiering F, editors. Proceedings of the 16th International Society for Music Information Retrieval (ISMIR) Conference; 2015 Oct 26 - Oct 30; Malaga, Spain. [S.l.]: International Society for Music Information Retrieval; 2015. p.100-6.
• dc.rights Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Oramas S, Sordo M, Espinosa-Anke L, Serra X. "A Semantic-based approach for artist similarity", 16th International/nSociety for Music Information Retrieval Conference, 2015.ca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• dc.title A semantic-based approach for artist similarityca
• dc.type info:eu-repo/semantics/conferenceObjectca
• dc.type.version info:eu-repo/semantics/publishedVersionca