Ontology-Based Identification of Music for Places

Marius Kaminskas (), Ignacio Fernández-Tobías (), Iván Cantador () and Francesco Ricci ()
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Marius Kaminskas: Free University of Bozen-Bolzano
Ignacio Fernández-Tobías: Universidad Autónoma de Madrid
Iván Cantador: Universidad Autónoma de Madrid
Francesco Ricci: Free University of Bozen-Bolzano

A chapter in Information and Communication Technologies in Tourism 2013, 2013, pp 436-447 from Springer

Abstract: 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 linked to music, which contributes to shaping the perception and the meaning of a place. In this paper we propose a computational approach for identifying musicians and music suited for a place of interest (POI). We present a knowledge-based framework built upon the DBpedia ontology, and a graph-based algorithm that scores musicians with respect to their semantic relatedness to a POI and suggests the top scoring ones. We found that users appreciate and judge as valuable the musician suggestions generated by the proposed approach. Moreover, users perceived compositions of the suggested musicians as suited for the POIs.

Keywords: Meaning of a place; Semantic networks; Linked data; Music information retrieval (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-36309-2_37

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DOI: 10.1007/978-3-642-36309-2_37

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