Workflow Entry: Mining Semantic Web data using Correspondence Analysis - Read RDF

This workflow will explain that how an example set can be extracted from an RDF resource using the provided SPARQL query.

This example set is then divided into training and test parts. These sub-example sets are used by the Correspondencce Analysis operators (encapsulate the Correspondencce Analysis data transformation technique) which processes each feature at a time and transform the data into a different space. This transformed data is more meaningful and helps the learner to improve classfication peformance. The tranformed data and the calculated distance matrices can be observed using Distance Matrix operator, which gives a better understanding of underlying process.

Please visit the following URL to download the released plugin together with code and relevant documentation:

code.google.com/p/rapidminer-semweb/

Looking forward for the feedback