dc.contributor.author | Kaminskas, Marius | |
dc.contributor.author | Fernández-Tobías, Ignacio | |
dc.contributor.author | Ricci, Francesco | |
dc.contributor.author | Cantador Gutiérrez, Iván | |
dc.contributor.other | UAM. Departamento de Ingeniería Informática | es_ES |
dc.date.accessioned | 2015-07-14T06:41:29Z | |
dc.date.available | 2015-07-14T06:41:29Z | |
dc.date.issued | 2014-03 | |
dc.identifier.citation | Information Technology & Tourism 14.1 (2014): 73-95 | en_US |
dc.identifier.issn | 1098-3058 (print) | en_US |
dc.identifier.issn | 1943-4294 (online) | en_US |
dc.identifier.uri | http://hdl.handle.net/10486/667372 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/s40558-014-0004-x | en_US |
dc.description.abstract | Place is a notion closely linked with the wealth of human experience, and invested by values, attitudes, and cultural influences. In particular, many places are strongly related to music, which contributes to shaping the perception and meaning of a place. In this paper we propose a computational approach to identify musicians and music suited for a place of interest (POI)––which is based on a knowledge-based framework built upon the DBpedia ontology––and a graph-based algorithm that scores musicians with respect to their semantic relatedness with a POI and suggests the top scoring ones. Through empirical experiments we show that users appreciate and judge the musician recommendations generated by the proposed approach as valuable, and perceive compositions of the suggested musicians as suited for the POIs. | en_US |
dc.description.sponsorship | This work was supported by the Spanish Government (TIN201128538C02)
and the
Regional Government of Madrid (S2009TIC1542). | en_US |
dc.format.extent | 25 pág. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | Springer Berlin Heidelberg | |
dc.relation.ispartof | Information Technology and Tourism | en_US |
dc.rights | © Springer-Verlag Berlin Heidelberg 2014 | |
dc.subject.other | Linked data | en_US |
dc.subject.other | Meaning of a place | en_US |
dc.subject.other | Music recommendation | en_US |
dc.subject.other | Semantic networks | en_US |
dc.title | Knowledge-based identification of music suited for places of interest | en_US |
dc.type | article | en_US |
dc.subject.eciencia | Informática | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1007/s40558-014-0004-x | |
dc.identifier.doi | 10.1007/s40558-014-0004-x | |
dc.identifier.publicationfirstpage | 73 | |
dc.identifier.publicationissue | 1 | |
dc.identifier.publicationlastpage | 95 | |
dc.identifier.publicationvolume | 14 | |
dc.relation.projectID | Comunidad de Madrid. S2009/TIC-1542/MA2VICMR | es_ES |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |
dc.contributor.group | Recuperación de información (ING EPS-008) | es_ES |
dc.rights.accessRights | openAccess | en |
dc.authorUAM | Cantador Gutiérrez, Iván (261086) | |
dc.authorUAM | Fernández Tobías, Ignacio (262532) | |
dc.facultadUAM | Escuela Politécnica Superior | |