Advertisement

Ontology-Based Music Recommender System

  • Miguel Ángel Rodríguez-GarcíaEmail author
  • Luis Omar Colombo-Mendoza
  • Rafael Valencia-García
  • Antonio A. Lopez-Lorca
  • Ghassan Beydoun
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 373)

Abstract

Recommender systems are modern applications that make suggestions to their users on a variety of items taking into account their preferences in many domains. These systems use people’s opinions to recommend to their end users items that are likely to be of their interest. They are designed to help users to decide on appropriate items and facilitate finding them in a very large collection of items. Traditional syntactic-based recommender systems suffer from several disadvantages, such as polysemy or synonymy, that limit its effectiveness. Semantic technologies provide a consistent and reliable basis for dealing with data at knowledge level. Adding semantically empowered techniques to recommender systems can significantly improve the overall quality of recom-mendations. In this work, a recommender system based on a Music ontology is presented. A preliminary evaluation of the system shows promising results.

Keywords

Recommender systems music ontologies Semantic Web Knowledgebased systems 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Rodríguez-González, A., Torres-Niño, J., Jiménez-Domingo, E., Gómez Berbís, J.M., Alor-Hernández, G.: AKNOBAS: A knowledge-based segmentation recommender system based on intelligent data mining techniques. Comput. Sci. Inf. Syst. 9(2), 713–740 (2012)CrossRefGoogle Scholar
  2. 2.
    Carrer-Neto, W., Hernández-Alcaraz, M.L., Valencia-García, R., García-Sánchez, F.: Social knowledge-based recommender system. Application to the movies domain. Expert Syst. Appl. 39(12), 10990–11000 (2012)CrossRefGoogle Scholar
  3. 3.
    Hyung, Z., Lee, K., Lee, K.: Music recommendation using text analysis on song requests to radio stations. Expert Syst. Appl. 41(5), 2608–2618 (2014)CrossRefGoogle Scholar
  4. 4.
    Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Sci. Am. 284, 34–43 (2001)CrossRefGoogle Scholar
  5. 5.
    Studer, R., Benjamins, V.R., Fensel, D.: Knowledge engineering: Principles and methods. Data and Knowledge Engineering 25, 161–197 (1998)CrossRefzbMATHGoogle Scholar
  6. 6.
    Rodríguez-García, M.A., Valencia-García, R., García-Sánchez, F., Samper-Zapater, J.J.: Ontology-based annotation and retrieval of services in the cloud. Knowl.-Based Syst. 56, 15–25 (2014)CrossRefGoogle Scholar
  7. 7.
    Gruber, T.R.: A translation approach to portable ontology specifications. Knowl. Acquis. 5, 199–220 (1993)CrossRefGoogle Scholar
  8. 8.
    Ruiz-Martínez, J.M., Valencia-García, R., Martínez-Béjar, R., Hoffmann, A.G.: BioOntoVerb: A top level ontology based framework to populate biomedical ontologies from texts. Knowl.-Based Syst. 36, 68–80 (2012)CrossRefGoogle Scholar
  9. 9.
    Esteban-Gil, A., García-Sánchez, F., Valencia-García, R., Fernández-Breis, J.T.: SocialBROKER: A collaborative social space for gathering semantically-enhanced financial information. Expert Syst. Appl. 39(10), 9715–9722 (2012)CrossRefGoogle Scholar
  10. 10.
    Yılmaz, Ö., Erdur, R.C.: iConAwa – An intelligent context-aware system. Expert Syst. Appl. 39(3), 2907–2918 (2012)CrossRefGoogle Scholar
  11. 11.
    Moreno, A., Valls, A., Isern, D., Marin, L., Borràs, J.: SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities. Eng. Appl. Artif. Intel. 26(1), 633–651 (2013)CrossRefGoogle Scholar
  12. 12.
    Alor-Hernández, G., Sánchez-Ramírez, C., Cortes-Robles, G., Rodríguez-González, A., García-Alcaráz, J.L., Cedillo-Campos, M.G.: BROSEMWEB: A brokerage service for e-Procurement using Semantic Web Technologies. Comput. Ind. 65(5), 828–840 (2014)CrossRefGoogle Scholar
  13. 13.
    Colomo-Palacios, R., López-Cuadrado, J.L., González-Carrasco, I., García-Peñalvo, F.J.: SABUMO-dTest: Design and Evaluation of an Intelligent collaborative distributed testing framework. Computer Science and Information Systems 11(1), 29–45 (2014)CrossRefGoogle Scholar
  14. 14.
    Colomo-Palacios, R., Casado-Lumbreras, C., Soto-Acosta, P., Misra, S.: Providing knowledge recommendations: an approach for informal electronic mentoring. Interact. Learn. Envir. 22(2), 221–240 (2014)CrossRefGoogle Scholar
  15. 15.
    Colombo-Mendoza, L.O., Valencia-García, R., Rodríguez-González, A., Alor-Hernández, G., Samper-Zapater, J.J.: RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes. Expert Syst. Appl. 42(3), 1202–1222 (2015)CrossRefGoogle Scholar
  16. 16.
    Aréchiga, D., Crestani, F., Vegas, J.: Ontology-driven word recommendation for mobile Web search. Knowl. Eng. Rev. 29(02), 186–200 (2014)CrossRefGoogle Scholar
  17. 17.
    Luna, V., Quintero, R., Torres, M., Moreno-Ibarra, M., Guzmán, G., Escamilla, I.: An ontology-based approach for representing the interaction process between user profile and its context for collaborative learning environments. Comput. Hum. Behav. (2015)Google Scholar
  18. 18.
    Rho, S., Song, S., Hwang, E., Kim, M.: COMUS: Ontological and Rule-Based Reasoning for Music Recommendation System. In: Theeramunkong, T., Kijsirikul, B., Cercone, N., Ho, T.-B. (eds.) PAKDD 2009. LNCS, vol. 5476, pp. 859–866. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  19. 19.
    Celma, Ò., Serra, X.: FOAFing the music: Bridging the semantic gap in music recommendation. Web Semantics 6(4), 250–256 (2008)CrossRefGoogle Scholar
  20. 20.
    Mohanraj, V., Chandrasekaran, M., Senthilkumar, J., Arumugam, S., Suresh, Y.: Ontology driven bee’s foraging approach based self-adaptive online recommendation system. J. Syst. Software 85(11), 2439–2450 (2012)CrossRefGoogle Scholar
  21. 21.
    Hyvönen, E., Viljanen, K., Tuominen, J., Seppälä, K.: Building a national semantic web ontology and ontology service infrastruc-ture—the FinnONTO approach. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 95–109. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  22. 22.
    Raimond, Y., Abdallah, S.A., Sandler, M.B., Giasson, F.: The Music Ontology. In: ISMIR 2007, pp. 417–422 (2007)Google Scholar
  23. 23.
    Swartz, A.: MusicBrainz: A Semantic Web Service. IEEE Intell. Syst. 17(1), 76–77 (2002)CrossRefGoogle Scholar
  24. 24.
    Ricci, F.: Context-aware music recommender systems: workshop keynote abstract. In: WWW 2012 Companion, pp. 865–866. ACM, New York (2012)Google Scholar
  25. 25.
    Beydoun, G., Lopez-Lorca, A., García-Sánchez, F., Martínez-Béjar, R.: How do we measure and improve the quality of a hierarchical ontology? J. Syst. Software 84(12), 2363–2373 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Miguel Ángel Rodríguez-García
    • 1
    Email author
  • Luis Omar Colombo-Mendoza
    • 1
  • Rafael Valencia-García
    • 1
  • Antonio A. Lopez-Lorca
    • 2
  • Ghassan Beydoun
    • 3
  1. 1.Departamento de Informática y SistemasUniversidad de MurciaMurciaSpain
  2. 2.Faculty of Information and Communication TechnologiesSwinburne University of TechnologyHawthornAustralia
  3. 3.Faculty of Engineering and Information ScienceUniversity of WollongongWollongongAustralia

Personalised recommendations