AKSW - projects/DLLearner/OntoWikiPlugin

2009-08-17 18:56:52

Comparison for /projects / DL Learner / Onto Wiki Plugin of 2009-08-17 18:56:52 and 2009-08-17 18:57:58

Additions:

Sebastian Dietzold
Christian K�tteritzsch
Jens Lehmann
Vu Duc Minh
Maria Moritz

Contact

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

Deletions:

The plugin was created by Sebastian Dietzold, Christian K�tteritzsch, Jens Lehmann, Maria Moritz, and Vu Duc Minh. If you have any questions or comments, please contact me.

2009-08-17 18:56:35

Comparison for /projects / DL Learner / Onto Wiki Plugin of 2009-08-17 18:56:35 and 2009-08-17 18:56:52

Additions:

Features

Deletions:

Features

2009-08-17 18:27:16

Comparison for /projects / DL Learner / Onto Wiki Plugin of 2009-08-17 18:27:16 and 2009-08-17 18:56:35

Additions:

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

The plugin was created by Sebastian Dietzold, Christian K�tteritzsch, Jens Lehmann, Maria Moritz, and Vu Duc Minh. If you have any questions or comments, please contact me.

Deletions:

...

AKSW - projects/DLLearner/OntoWikiPlugin

2009-08-17 18:56:52

Contact

2009-08-17 18:56:35

Features

Features

2009-08-17 18:27:16

How does it work?

Features

Screenshot

Authors

2009-08-17 18:26:10