DBpedia in the Art Market

Dominik Filipiak , Agata Filipowska

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.
Author Dominik Filipiak (WIiGE / KIE)
Dominik Filipiak,,
- Department of Information Systems
, Agata Filipowska (WIiGE / KIE)
Agata Filipowska,,
- Department of Information Systems
Pages321-331
Publication size in sheets0.5
Book Abramowicz Witold (eds.): BIS 2015 International Workshops Poznań, Poland, June 24–26, 2015. Revised Papers, Lecture Notes in Business Information Processing, vol. 228, 2015, Springer International Publishing, ISBN 978-3-319-26761-6, [978-3-319-26762-3 ], 344 p., DOI:10.1007/978-3-319-26762-3
Keywords in EnglishArt market; Semantic Web; Linked data; Information retrieval; Alternative investment
DOIDOI:10.1007/978-3-319-26762-3_28
Languageen angielski
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 15.0, 12-02-2020, BookChapterSeriesAndMatConfByIndicator
Ministerial score (2013-2016) = 15.0, 12-02-2020, BookChapterSeriesAndMatConfByIndicator
Publication indicators WoS Citations = 3
Citation count*3 (2020-06-29)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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