Improving the quality of art market data using linked open data and machine learning

Abstract

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.