ORE: A tool for the enrichment, repair and validation of OWL based knowledge bases.

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The ORE (Ontology Repair and Enrichment) tool allows for the enrichment, repair and validation of OWL based knowledge bases.

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Ontology Debugging: ORE uses OWL reasoning to detect inconsistencies and unsatisfiable classes. State-of-the-art methods are then used to detect the most likely sources for the problems. In a simple process, the user can create a repair plan to resolve a problem, while maintaining full control over desired and undesired inferences.

Ontology Enrichment: ORE uses the DL-Learner framework to suggest definitions and super classes for existing classes in the knowledge base. This works if instance data is available and can be used to detect potential problems and harmonise schema and data in the knowledge base.

Project Team

Publications

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News

AKSW presents four papers at ISWC in Shanghai and wins Best Paper award ( 2010-11-11T11:16:10+01:00 by Prof. Dr. Sören Auer)

2010-11-11T11:16:10+01:00 by Prof. Dr. Sören Auer

The AKSW research group is represented in the main ISWC conference programme this year with four papers. Read more about "AKSW presents four papers at ISWC in Shanghai and wins Best Paper award"

ORE 0.2 Released ( 2010-07-27T23:31:28+02:00 by Dr. Jens Lehmann)

2010-07-27T23:31:28+02:00 by Dr. Jens Lehmann

Today, we released version 0.2 of the ontology repair and enrichment (ORE) tool. It is a tool for knowledge engineers to improve an OWL ontology through a wizard like repair process and uses state-of-the-art ontology debugging methods. Read more about "ORE 0.2 Released"

ORE 0.1 Released ( 2010-03-16T00:19:27+01:00 by Dr. Jens Lehmann)

2010-03-16T00:19:27+01:00 by Dr. Jens Lehmann

The set of tools released by the AKSW research group has a new member: ORE. ORE stands for ontology repair and enrichment. It is a tool for knowledge engineers to improve an OWL ontology through a wizard like repair process. Read more about "ORE 0.1 Released"