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Knowledge-based identification of music suited for places of interest

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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.

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Notes

  1. Wikipedia’s categorization, http://en.wikipedia.org/wiki/Wikipedia:Categorization.

  2. YouTube video-sharing website, http://www.youtube.com.

  3. Europeana’s Linked Open Data repository, http://pro.europeana.eu/linked-open-data.

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Acknowledgments

This work was supported by the Spanish Government (TIN2011-28538-C02) and the Regional Government of Madrid (S2009TIC-1542).

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Authors and Affiliations

  1. Faculty of Computer Science, Free University of Bozen-Bolzano, 39100, Bolzano, Italy

    Marius Kaminskas & Francesco Ricci

  2. Escuela Politécnica Superior, Universidad Autónoma de Madrid, Calle Francisco Tomás y Valiente 11, 28049, Madrid, Spain

    Ignacio Fernández-Tobías & Iván Cantador

Authors
  1. Marius Kaminskas
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  2. Ignacio Fernández-Tobías
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  3. Francesco Ricci
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  4. Iván Cantador
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Correspondence to Iván Cantador.

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Kaminskas, M., Fernández-Tobías, I., Ricci, F. et al. Knowledge-based identification of music suited for places of interest. Inf Technol Tourism 14, 73–95 (2014). https://doi.org/10.1007/s40558-014-0004-x

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  • DOI: https://doi.org/10.1007/s40558-014-0004-x

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