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Recommender Systems and Linked Open Data

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Reasoning Web. Web Logic Rules (Reasoning Web 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9203))

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Abstract

The World Wide Web is moving from a Web of hyper-linked documents to a Web of linked data. Thanks to the Semantic Web technological stack and to the more recent Linked Open Data (LOD) initiative, a vast amount of RDF data have been published in freely accessible datasets connected with each other to form the so called LOD cloud. As of today, we have tons of RDF data available in the Web of Data, but only a few applications really exploit their potential power. The availability of such data is for sure an opportunity to feed personalized information access tools such as recommender systems. We present an overview on recommender systems and we sketch how to use Linked Open Data to build a new generation of semantics-aware recommendation engines.

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Notes

  1. 1.

    http://www.go-gulf.com/blog/60-seconds/.

  2. 2.

    http://www.pandora.com/.

  3. 3.

    http://www.netflix.com.

  4. 4.

    http://www.linkedin.com.

  5. 5.

    http://archive.fortune.com/magazines/fortune/fortune_archive/2006/11/27/8394347/index.htm.

  6. 6.

    http://www.grouplens.org/node/73.

  7. 7.

    http://www.librarything.com.

  8. 8.

    http://www.macle.nl/tud/LT/.

  9. 9.

    http://ir.ii.uam.es/hetrec2011/datasets.html.

  10. 10.

    http://www.lastfm.com.

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Authors and Affiliations

  1. SisInf Lab, Polytechnic University of Bari, Via Orabona 4, 70125, Bari, Italy

    Tommaso Di Noia

  2. Pandora Media Inc., 2101 Webster Street, Oakland, CA, 9461, USA

    Vito Claudio Ostuni

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  1. Tommaso Di Noia
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  2. Vito Claudio Ostuni
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Correspondence to Tommaso Di Noia .

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  1. University of Huddersfield, Huddersfield, United Kingdom

    Wolfgang Faber

  2. FU Berlin Institut für Informatik, Berlin, Germany

    Adrian Paschke

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Di Noia, T., Ostuni, V.C. (2015). Recommender Systems and Linked Open Data. In: Faber, W., Paschke, A. (eds) Reasoning Web. Web Logic Rules. Reasoning Web 2015. Lecture Notes in Computer Science(), vol 9203. Springer, Cham. https://doi.org/10.1007/978-3-319-21768-0_4

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