Onto Wiki Plugin Page

The Onto Wiki DL-Learner plugin allows users to learn equivalence and super class axioms based on the instance data in the knowledge bases loaded in Onto Wiki. It integrates seamlessly via the Onto Wiki plugin mechanism.

How does it work?

You can access the functionality of the plugin via a context menu of classes in Onto Wiki. (TODO: small screenshot) If you click on a class and then select “Learn Equivalent Class Expressions”, then the knowledge base is transferred to DL-Learner, which analyses the instances of the class. Say your class is called “customer requirement”. An equivalent class could then be (depending on your data) “is created by some customer”. This is called an OWL 2 Class Expression, which is displayed in its Manchester Syntax. DL-Learner usually offers some of those suggestions and you can accept one of those. If you accept a suggestion, it is added to your knowledge base and can be used by reasoners for querying, consistency checking, or as an additional documentation of the purpose of a class.

Features

• learns definition and super class axioms based on existing instance data in an ontology
• seamless integration through use of Onto Wiki plugin mechanism
• based on DL-Learner Machine Learning framework to generate suggestions
• use of efficient and sophisticated machine learning algorithms
• can handle cases where an ontology is already damaged, i.e. adding the desired axiom renders the ontology inconsistent – in this case it displays the instances causing inconsistency

Screenshot

TODO

Authors

• Sebastian Dietzold
• Christian Kötteritzsch
• Jens Lehmann
• Vu Duc Minh
• Maria Moritz

Contact

If you have any questions or comments, please contact me.