This toolkit facilitates to learn from Semantic Web data i.e. RDF within RapidMiner. It transforms RDF triples to an example set and then any kind of learning can be applied on this data. It also provides two data transformation operators featuring 'FastMap' and 'Correspondence Analysis' algorithms and a visualization operator to visualize the underlying process by displaying the distance matrix and transformed data matrix. Furthermore it solves the problem of set-valued data in Semantic Web.

For example process and sample data please visit product website.

To have better overview of workflows which can be build using the operators provided by this toolkit, please visit here: http://www.myexperiment.org/users/12855/workflows