Improving the Quality of Art Market Data Using Linked Open Data and Machine Learning
Dominik Filipiak , Agata Filipowska
AbstractAmong 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.
|Publication size in sheets||0.5|
|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 English||Art market, Data science, Machine learning, Linked open data|
|ASJC Classification||; ; ; ; ;|
|Score||= 70.0, 25-03-2020, ChapterFromConference|
|Publication indicators||= 2|
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