Hi all,
we are happy to announce version 1.4 of the RapidMiner Linked Open Data
extension [1], which allows for using Linked Open Data in the RapidMiner
platform [2] both as background knowledge for a given data mining task,
as well as for carrying out analyses on LOD as such. Possible use cases
include, but are not limited to:
* Error detection in LOD
* Schema matching for LOD
* Using background knowledge from LOD to build better predictive and
descriptive models
Features added to the latest release include:
* Automatic following of links in the LOD cloud
* Support for RDF data cubes [3]
* New propositionalization algorithms, as described in [4]
* Feature selection algorithms optimized for LOD, as described in [5]
* More fine-grained control of data generation operators
The extension can be installed from inside RapidMiner using the "Updates
and Extensions" menu by searching for "Linked Open Data".
We hope you enjoy the new release!
All the best,
Petar Ristoski
Heiko Paulheim
Chris Bizer
PS: For reasons of API changes, the extension is currently not working
with the new RapidMiner 6 release. We advise you to use the community
version (5.X) until the issue is resolved.
[1]
http://dws.informatik.uni-mannheim.de/en/research/rapidminer-lod-extension
[2] http://rapidminer.com/
[3] http://www.w3.org/TR/vocab-data-cube/
[4] Ristoski and Paulheim: A Comparison of Propositionalization
Strategies for Creating Features from Linked Open Data. In: Workshop on
Linked Data for Knowledge Discovery, 2014
[5] Ristoski and Paulheim: Feature Selection in Hierarchical Feature
Spaces. In: Discovery Science, 2014
--
Dr. Heiko Paulheim
Research Group Data and Web Science
University of Mannheim
Phone: +49 621 181 2646
B6, 26, Room C1.08
D-68159 Mannheim
Mail: [email protected]
Web: www.heikopaulheim.com
