Mining Semantic Web data using FastMap - 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 FastMap operators (encapsulate the FastMap 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
Preview
Run
Not available
Workflow Components
Unavailable
1. Mansoor Khan, Gunnar Grimnes, Andreas Dengel, Two pre-processing operators for improved learning from SemanticWeb data, RCOM2010, 13 September 2010, http://rapid-i.com/rcomm/
Reviews (0)
Other workflows that use similar services (0)
There are no workflows in myExperiment that use similar services to this Workflow.
Comments (0)
No comments yet
Log in to make a comment