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International Conference on Business Information Systems

BIS 2015: Business Information Systems Workshops pp 321–331Cite as

DBpedia in the Art Market

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 228))

Abstract

We investigate a new approach to the art market analysis. A vast amount of structured data about creators on DBpedia can be used for enriching artworks’ sales observations employed in hedonic regression. This approach can result in a new set of explanatory variables and thus yield more accurate art market indices and predictions.

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Notes

  1. 1.

    http://dbpedia.org.

  2. 2.

    http://www.ebizmba.com/articles/most-popular-websites.

  3. 3.

    http://artnet.com.

  4. 4.

    http://artprice.com.

  5. 5.

    http://nutch.apache.org.

  6. 6.

    http://scrapy.org.

  7. 7.

    https://tika.apache.org.

  8. 8.

    https://en.wikipedia.org/wiki/Andy_Warhol.

  9. 9.

    https://github.com/OpenRefine/OpenRefine.

  10. 10.

    https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth.

  11. 11.

    http://www.slideshare.net/jimkont/dbpedia-dublin-aligned-1.

  12. 12.

    http://www.freebase.com.

  13. 13.

    https://www.wikidata.org.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Poznań University of Economics, Al. Niepodległości 10, 61-875, Poznan, Poland

    Dominik Filipiak & Agata Filipowska

Authors
  1. Dominik Filipiak
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  2. Agata Filipowska
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Corresponding author

Correspondence to Dominik Filipiak .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

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Filipiak, D., Filipowska, A. (2015). DBpedia in the Art Market. In: Abramowicz, W. (eds) Business Information Systems Workshops. BIS 2015. Lecture Notes in Business Information Processing, vol 228. Springer, Cham. https://doi.org/10.1007/978-3-319-26762-3_28

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  • DOI: https://doi.org/10.1007/978-3-319-26762-3_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26761-6

  • Online ISBN: 978-3-319-26762-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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