DL-Learner 1.0 Beta 3

Tool for supervised Machine Learning in OWL and Description Logics

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What's new in DL-Learner 20100807:

  • support for OWL API 3
  • ORE tool based on DL-Learner algorithms (soon to be migrated to an own project)
  • implemented several new heuristics, e.g. generalised F-Measure
  • stochastic approximation of computing F-Measure
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LICENSE TYPE:
GPL 
FILE SIZE:
194.2 MB
USER RATING:
5.0/5 2
DEVELOPED BY:
Jens Lehmann
CATEGORY:
Home \ Math/Scientific
The DL-Learner software learns concepts in Description Logics (DLs) from user-provided examples. Equivalently, it can be used to learn classes in OWL ontologies from selected objects. DL-Learner extends Inductive Logic Programming to Descriptions Logics and the Semantic Web.

The goal of DL-Learner is to provide a DL/OWL based machine learning tool to support knowledge engineers in constructing knowledge and solve supervised learnings tasks and learning about the data they created.

Last updated on May 23rd, 2014

Runs on: Mac OS X (Universal Binary)

feature list

#description logistics #learn classes #learn dl #learn #description #logistic #learner

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