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2013

Exploiting Linked Open Data as Background Knowledge in Data Mining

4 years 10 months ago
Exploiting Linked Open Data as Background Knowledge in Data Mining
Many data mining problems can be solved better if they are augmented with additional background knowledge. This paper discusses a framework of adding background knowledge from Linked Open Data to a given data mining problem in a fully automatic, unsupervised manner. It introduces the FeGeLOD framework and its latest implementation, the RapidMiner Linked Open Data extension. We show the use of the approach in different problem domains and discuss current research directions.
Heiko Paulheim
Added 19 May 2015
Updated 19 May 2015
Type Journal
Year 2013
Where DMOLD
Authors Heiko Paulheim
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