smartdataanalytics/dl-learner repository overview

⁠Docker image for DL-Learner

This is a docker version of the DL-Learner! It is assambled from the latest release⁠ of the framework.

⁠Getting started

DL-Learner provide a cli interface which is the main command line interface to run learning tasks with the DL-Learner framework. The script takes a configuration file as argument and starts the configured learning algorithm. The DL-Learner release already contains a collection of examples. You can find them in the examples/ folder.

In order to run such intefrace via docker, use the following command:

make run

When the comand line intefrace it done you will be able to run the learning tasks offered by the DL-Learner framework. As it is described on the DL-Learner manual, you could run one of the examples by just doing:

bin/cli examples/father.conf

The second executable in the bin/ folder is the enrichment script. This script infers new schema axioms based on the instance data of a given SPARQL endpoint. The enrichment can be performed for a particular resource (i.e. a class or a property) or for the whole dataset. To get suggestions for new schema axioms concerning the property http://dbpedia.org/ontology/currency⁠ you would run :

bin/enrichment -e http://dbpedia.org/sparql -g http://dbpedia.org -r http://dbpedia.org/ontology/currency

⁠Executing Examples From CLI

It is also possible to execute the examples from the command line. To run the father example you can type:

make run-example

We recommend to read the manual⁠ when using DL-Learner for the first time.