Feature construction and selection are two key factors in the field of Machine Learning (ML). Usually, these are very time-consuming and complex tasks because the features have to be manually crafted. The features are aggregated, combined or split to create features from raw data. This project makes use of ontologies to automatically generate features for the ML algorithms. The features are generated by combining the concepts and relationships that are already in the knowledge base, expressed in form of ontology.

Features

  • Machine learning
  • Supervised learning
  • Ontology
  • OWL

Project Activity

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Categories

Machine Learning

License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Intended Audience

Advanced End Users

User Interface

Console/Terminal

Programming Language

Java

Related Categories

Java Machine Learning Software

Registered

2017-10-30