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Semantic Search over the Web pp 311–331Cite as

A Recommender System for Linked Data

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Part of the book series: Data-Centric Systems and Applications ((DCSA))

Abstract

The use of Linked Data datasets poses new challenges and issues in the development of next-generation systems for recommendation. In this chapter, we present MORE (MOREthan MOvieREcommendation), a Facebook -semantic application that recommends movies to the user by using information coming both from her profile and from semantic datasets. MORE exploits the power of social knowledge bases in the Linked Data cloud (e.g., DBpedia ) to detect semantic affinities among movies by adopting a novel approach that computes similarities based on a semantic vector space model (sVSM). MORE is freely available as a Facebook application and has been evaluated by real users, proving the validity of our approach.

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Notes

  1. 1.

    http://dbpedia.org/resource/Keira_Knightley

  2. 2.

    http://www.imdb.com, http://www.linkedmdb.org

  3. 3.

    http://dbpedia.org/sparql

  4. 4.

    http://en.wikipedia.org/wiki/Bridget_Jones’s_Diary_(film)

  5. 5.

    http://en.wikipedia.org/wiki/Love_Actually

  6. 6.

    http://en.wikipedia.org/wiki/Bridget_Jones:_The_Edge_of_Reason_(film)

  7. 7.

    http://en.wikipedia.org/wiki/Four_Weddings_and_a_Funeral

  8. 8.

    http://www.imdb.com/title/tt0314331/

  9. 9.

    This feature is currently not implemented in the online version of the application, and is part of our future work.

  10. 10.

    http://developers.facebook.com/docs/reference/api/

  11. 11.

    http://wiki.dbpedia.org/Downloads{3}{6}\#ontologyinfoboxproperties

  12. 12.

    http://neo4j.org

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Authors and Affiliations

  1. Politecnico di Bari, via Orabona 4, 70125, Bari, Italy

    Roberto Mirizzi, Tommaso Di Noia, Eugenio Di Sciascio & Azzurra Ragone

  2. Exprivia S.p.A., viale A. Olivetti 11/A, 70056, Molfetta, BA, Italy

    Azzurra Ragone

Authors
  1. Roberto Mirizzi
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  2. Tommaso Di Noia
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  3. Eugenio Di Sciascio
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  4. Azzurra Ragone
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Correspondence to Roberto Mirizzi .

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Editors and Affiliations

  1. , Dipartimento di Informatica, Università degli Studi Roma Tre, Via della Vasca Navale 79, Roma, 00146, Italy

    Roberto De Virgilio

  2. e Reggio Emilia, Dipartimento di Economia Aziendale, Università degli Studi di Modena, Via le Berengario, 51, Modena, 41100, Italy

    Francesco Guerra

  3. Università degli Studi di Trento, Via Sommarive 14, Trento, 38123, Italy

    Yannis Velegrakis

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Mirizzi, R., Di Noia, T., Di Sciascio, E., Ragone, A. (2012). A Recommender System for Linked Data. In: De Virgilio, R., Guerra, F., Velegrakis, Y. (eds) Semantic Search over the Web. Data-Centric Systems and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25008-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-25008-8_12

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