article

FOAFing the music: Bridging the semantic gap in music recommendation

Authors:

íscar Celma,

Xavier SerraAuthors Info & Claims

Web Semantics: Science, Services and Agents on the World Wide Web, Volume 6, Issue 4

Pages 250 - 256

https://doi.org/10.1016/j.websem.2008.09.004

Published: 01 November 2008 Publication History

Abstract

In this paper we give an overview of the Foafing the Music system. The system uses the Friend of a Friend (FOAF) and RDF Site Summary (RSS) vocabularies for recommending music to a user, depending on the user's musical tastes and listening habits. Music information (new album releases and reviews, podcast sessions, audio from MP3 blogs, related artists' news, and upcoming gigs) is gathered from thousands of RSS feeds. The presented system provides music discovery by means of: user profiling (defined in the user's FOAF description), context-based information (extracted from music related RSS feeds) and content-based descriptions (extracted from the audio itself), based on a common ontology (OWL DL) that describes the music recommendation domain. The system is available at: http://foafing-the-music.iua.upf.edu.

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Behera GNain N(2023)The State-of-the-Art and Challenges on Recommendation System’s: Principle, Techniques and Evaluation StrategySN Computer Science10.1007/s42979-023-02207-z4:5Online publication date: 3-Sep-2023
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Lisena PMeroño-Peñuela ATroncy RAlam MBuscaldi DCochez MOsborne FRefogiato Recupero DSack H(2022)MIDI2vecSemantic Web10.3233/SW-21044613:3(357-377)Online publication date: 1-Jan-2022
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FOAFing the music: Bridging the semantic gap in music recommendation

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cover image Web Semantics: Science, Services and Agents on the World Wide Web

Web Semantics: Science, Services and Agents on the World Wide Web Volume 6, Issue 4

November, 2008

83 pages

ISSN:1570-8268

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 November 2008

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Behera GNain N(2023)The State-of-the-Art and Challenges on Recommendation System’s: Principle, Techniques and Evaluation StrategySN Computer Science10.1007/s42979-023-02207-z4:5Online publication date: 3-Sep-2023
https://dl.acm.org/doi/10.1007/s42979-023-02207-z
Lisena PMeroño-Peñuela ATroncy RAlam MBuscaldi DCochez MOsborne FRefogiato Recupero DSack H(2022)MIDI2vecSemantic Web10.3233/SW-21044613:3(357-377)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/SW-210446
El Raheb KBuccoli MZanoni MKatifori AKasomoulis ASarti AIoannidis Y(2022)Towards a general framework for the annotation of dance motion sequencesMultimedia Tools and Applications10.1007/s11042-022-12602-y82:3(3363-3395)Online publication date: 4-Jul-2022
https://dl.acm.org/doi/10.1007/s11042-022-12602-y
Sebei HHadj Taieb MBen Aouicha M(2020)SNOWL model: social networks unification-based semantic data integrationKnowledge and Information Systems10.1007/s10115-020-01498-562:11(4297-4336)Online publication date: 1-Nov-2020
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Li JXing ZSun A(2019)LinkLiveWorld Wide Web10.1007/s11280-018-0621-y22:4(1699-1725)Online publication date: 1-Jul-2019
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Zitouni HMeshoul STaouche KSheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)Improving content based recommender systems using linked data cloud and FOAF vocabularyProceedings of the International Conference on Web Intelligence10.1145/3106426.3120963(988-992)Online publication date: 23-Aug-2017
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Gunawan ALau HVarakantham PWang W(2016)An intelligent system for personalized conference event recommendation and schedulingProceedings of the Twenty-second European Conference on Artificial Intelligence10.3233/978-1-61499-672-9-1797(1797-1802)Online publication date: 29-Aug-2016
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Mao KChen GHu YZhang L(2016)Music recommendation using graph based quality modelSignal Processing10.1016/j.sigpro.2015.03.026120:C(806-813)Online publication date: 1-Mar-2016
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Meymandpour RDavis J(2016)A semantic similarity measure for linked dataKnowledge-Based Systems10.1016/j.knosys.2016.07.012109:C(276-293)Online publication date: 1-Oct-2016
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Oramas SEspinosa-Anke LSordo MSaggion HSerra X(2016)Information extraction for knowledge base construction in the music domainData & Knowledge Engineering10.1016/j.datak.2016.06.001106:C(70-83)Online publication date: 1-Nov-2016
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