Lorenz Bühmann

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

Augustusplatz 10/11

Leipzig, 04109

Germany

SCHOLARLY PAPERS

3

DOWNLOADS

157

SSRN CITATIONS

2

CROSSREF CITATIONS

0

Scholarly Papers (3)

1.

Dl-Learner—A Framework for Inductive Learning on the Semantic Web

Number of pages: 11 Posted: 26 Jun 2018
Lorenz Bühmann, Jens Lehmann and Patrick Westphal
University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW), University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW) and University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW)
Downloads 89 (409,118)
Citation 1

Abstract:

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System description, Machine learning, Supervised learning, Semantic Web, OWL, RDF

2.

Class Expression Learning for Ontology Engineering

Number of pages: 25 Posted: 24 Jun 2018
Jens Lehmann, Sören Auer, Lorenz Bühmann and Sebastian Tramp
University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW), University of Leipzig - Department of Computer Science, University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW) and University of Leipzig - Department of Computer Science
Downloads 49 (555,723)

Abstract:

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

3.

DeFacto - Temporal and Multilingual Deep Fact Validation

Number of pages: 19 Posted: 24 Jun 2018
University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW), University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW), University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW), University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW), University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW), University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW) and University of Leipzig - Agile Knowledge Engineering and Semantic Web (AKSW)
Downloads 19 (747,462)
Citation 2

Abstract:

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Web of Data, Fact Validation, NLP, Provenance