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Class Expression Learning for Ontology Engineering

25 Pages Posted: 24 Jun 2018 Publication Status: Accepted

See all articles by Jens Lehmann

Jens Lehmann

University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW)

Sören Auer

University of Leipzig - Department of Computer Science

Lorenz Bühmann

University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW)

Sebastian Tramp

University of Leipzig - Department of Computer Science

Abstract

While the number of knowledge bases in the Semantic Web increases, the maintenance and creation of ontology schemata still remain a challenge. In particular creating class expressions constitutes one of the more demanding aspects of ontology engineering. In this article we describe how to adapt a semi-automatic method for learning OWL class expressions to the ontology engineering use case. Specifically, we describe how to extend an existing learning algorithm for the class learning problem. We perform rigorous performance optimization of the underlying algorithms for providing instant suggestions to the user. We also present two plugins, which use the algorithm, for the popular Protégé and OntoWiki ontology editors and provide a preliminary evaluation on real ontologies.

Keywords: Ontology Engineering, Supervised Machine Learning, Concept Learning, Ontology Editor Plugins, OWL, Heuristics

Suggested Citation

Lehmann, Jens and Auer, Sören and Bühmann, Lorenz and Tramp, Sebastian, Class Expression Learning for Ontology Engineering (December 29, 2010). Available at SSRN: https://ssrn.com/abstract=3199507 or http://dx.doi.org/10.2139/ssrn.3199507

Jens Lehmann (Contact Author)

University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW) ( email )

Augustusplatz 10/11
Leipzig, 04109
Germany

Sören Auer

University of Leipzig - Department of Computer Science ( email )

Augustusplatz 10/11
Leipzig, 04109
Germany

Lorenz Bühmann

University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW) ( email )

Augustusplatz 10/11
Leipzig, 04109
Germany

Sebastian Tramp

University of Leipzig - Department of Computer Science ( email )

Augustusplatz 10/11
Leipzig, 04109
Germany

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