Improving the Quality of Art Market Data Using Linked Open Data and Machine Learning

Dominik Filipiak , Agata Filipowska


Among numerous research studies devoted to art markets, very little attention is given to the quality of the data. Availability of a decent amount of observations is a problem in many fields; the art market is no different, especially in Poland. Therefore, it constitutes a severe obstacle in explaining the market behaviour. The use of Linked Open Data and Machine Learning can pave the way to improve the quality of data and enrich results of other art market research as a consequence, such as building indices. This paper is an outline of the method for combining such fields and summarises effort already made to achieve that.
Author Dominik Filipiak (UEP)
Dominik Filipiak,,
- Poznań University of Economics and Business
, Agata Filipowska (WIiGE / KIE)
Agata Filipowska,,
- Department of Information Systems
Publication size in sheets0.5
Book Abramowicz Witold, Alt Rainer, Franczyk Bogdan (eds.): Business Information Systems Workshops BIS 2016 International Workshops, Leipzig, Germany, July 6-8, 2016, Revised Papers, Lecture Notes in Business Information Processing, vol. 263, 2017, Springer, ISBN 978-3-319-52463-4, [978-3-319-52464-1], 430 p., DOI:10.1007/978-3-319-52464-1
Keywords in EnglishArt market, Data science, Machine learning, Linked open data
ASJC Classification1802 Information Systems and Management; 2611 Modelling and Simulation; 1710 Information Systems; 1403 Business and International Management; 2207 Control and Systems Engineering; 1404 Management Information Systems
Languageen angielski
Score (nominal)70
Score sourceconferenceList
ScoreMinisterial score = 70.0, 25-03-2020, ChapterFromConference
Publication indicators WoS Citations = 2
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